Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

Duration: 1 year

Location: Pioneer

Working Hours: Monday - Thursday 830am to 545pm; Friday 830am to 515pm

Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

Should you be interested in this position, please contact Mandy at 9640 2934 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

As a Research Assistant in Urban Planning Algorithms, you will be responsible for developing innovative algorithms and formulations to address complex urban planning problems. You will work closely with urban planners, data scientists, and other stakeholders to understand the practical constraints and challenges faced in urban planning. Your role will involve:

• Developing and refining algorithms and mathematical formulations to solve urban planning problems, such as traffic flow optimization, land use allocation, and resource distribution.

• Analyzing and interpreting data from various sources, including geospatial data, demographic information, and transportation networks, to inform algorithm development.

• Collaborating with interdisciplinary teams to ensure that algorithms are practical, scalable, and aligned with the goals of urban planners

• Implementing and testing algorithms using appropriate software tools and programming languages, such as Python or R.
• Documenting your work and presenting findings to stakeholders, including urban planners, policymakers, and the public.

Qualifications

To be successful in this role, you will need to have a strong background in computer science, mathematics, or a related field, with a focus on algorithm development and optimization. Additional qualifications include:

• Proficiency in developing and refining algorithms and mathematical formulations to solve complex problems.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Proficiency in programming languages such as Python, MATLAB, or R, and experience with software tools for algorithm implementation and testing.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and present findings effectively.
• A commitment to collaborative work and the ability to work effectively in interdisciplinary teams.
• A Bachelor’s degree in Computer Science, Mathematics, Operations Research, or a related field

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

HYCOMBS Project is seeking a highly motivated and talented Research Fellow to join the project, a research initiative focused on advancing combustion science and technology for gas turbines and internal combustion engines in Singapore.

The successful candidate will be based in Singapore and contribute to Work Package 2.1, “Laminar H2/NH3 flames”, led by Dr. Ducruix and Dr. Minesi.

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

The HYCOMB project aims to develop a deeper understanding of hydrogen/ammonia combustion phenomena and improve the efficiency, stability, and environmental sustainability of gas turbines and internal combustion engines. As a Postdoctoral Researcher in WP2.1, you will play a key role in deploying advanced diagnostics to study laminar H2/NH3 flames, a crucial step towards understanding combustion instability and pollutant formation.

Responsibilities

• Design, develop, and operate a burner for laminar flame experiments, compatible with high-frequency diagnostics
• Conduct experiments on steady and pulsated laminar H2/NH3 flames using spontaneous emission of radicals (OH*, NH*) and laser absorption spectroscopy of stable species (NH3, H2O, N2O)
• Modulate injection conditions to induce controlled fluctuations of velocity, which will drive the oscillation of heat release, pollutant formation, and other quantities of interest
• Measure local flow conditions using Particle Image Velocimetry (PIV) to correlate flame behavior with flow strain
• Collaborate with other partners to implement laser absorption spectroscopy in other rigs and validate kinetic schemes and simulations (WP1)
• Contribute to the development of laser absorption spectroscopy diagnostics for online detection of combustion efficiency, ammonia slip, and N2O pollutant emissions

EXPERIENCE & QUALIFICATIONS

Requirements

• Ph.D. in Combustion Science, Physics, Chemistry, or a related field
• Strong background in experimental combustion, flame diagnostics, and data analysis
• Experience with optical diagnostics (ideally laser-induced fluorescence and absorption spectroscopy, but not required)
• Excellent communication and teamwork skills, with the ability to collaborate with international partners
• Fluency in English (written and spoken)

Desirable Qualifications

• Knowledge of combustion kinetics and modeling
• Experience with particle image velocimetry (PIV) or other flow measurement techniques

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

• A 3-year postdoctoral research position
• Visit in laboratoire EM2C (France) for a training on optical diagnostics
• The opportunity to work on a cutting-edge, interdisciplinary project with international partners
• Access to state-of-the-art experimental facilities and diagnostics in Singapore
• Collaboration with leading researchers in the field of combustion science
• Opportunities for professional growth, networking, and publication in top-tier journals

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus.

To apply, please submit your CV, a cover letter outlining your research experience, and contact information for two academic references. Applications will be reviewed until the position is filled: [email protected] and [email protected]

Job Descriptions:

• Provides good practical skills and to lead a team of patient care assistants and health attendants in area assigned to.
• Provides good individual patient care and services with regards to specific nursing competencies such as doing dressings and cannulating patients.
• Displays confidence and well-versed in briefing patients prior to all radiation therapy procedures such as cannulation, CT simulation, radiation therapy treatment and post treatment.
• Displays competency in providing timely nursing advice to patients and family members.
• Assist radiation oncologists in consultations and be competent in necessary procedures.
• Offers good teamwork and be part of a radiotherapy team in the deliverance of safe and accurate support of treatment to patients within the radiotherapy department.
• Maintain and upkeep equipment and supplies such as emergency trolley, oxygen cylinders, surgical supplies, stationery and blankets.
• Coach new enrolled/ staff nurses and nursing students in learning activities.
• Ensure that high alert medications are properly stocked and stored.
• Maintain and upkeep cleanliness of the consultation rooms and work areas.
• Be knowledgeable in disposal of all matters of waste including sharps, biohazard waste and general waste.
• Contributes actively in the improvement and upgrading of holistic treatment care.

General:

• Liase with department manager, radiation oncologists, therapists and other relevant staff to facilitate ongoing departmental processes such as patient scheduling and inpatient status.
• Manages and keeps track of patients’ laboratory and imaging studies results.
• Provides proper guidance to junior personnel assigned.
• Discharges any other duties as assigned by supervisors and/ or senior manager.
• Participates in continuing education, improvement and other activities of the department.
• Adheres to the Code of Practice with regards to Nursing Board at all times.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

• Working days: Rotating Shift Mon - Fri (7-4pm, 9-6pm & 10-7pm), Alternate Saturday (8:30am-1pm)
• Salary: $3000-$5000 (depends on Experience)
• Location: Orchard

Roles and Responsibilities

• Admission of new patients to OR
• Ensure nursing care and able to relate with patient and relatives
• Manage patient files and records
• Prepare and perform all surgical procedures in a sterile manner, observing all principles of asepsis and sterility
• Prepare and maintain all surgical instruments in an organized and logical manner
• Conduct a full count of instruments and accessories before the start of an operation, after the closure of any major cavity, and the end of the operation
• Handle all sharps and contaminated waste in a safe and effective manner
• Assist with cleaning and transferring of patient to the recovery area
• Prepare and perform all surgical procedures in an appropriate manner, while observing all principles of asepsis and sterility
• Assist with surgical scrub as required
• Prepare the operating room and all equipment for each operation and ensure the functioning of such equipment
• Dispose of all sharps and contaminated waste in a safe and effective manner
• Assist with the cleaning and transferring of patient to the recovery area
• Register and record all instruments and sets received
• Report any anomalies in sets received (e.g. incomplete, broken instruments)
• At all times, ensure that both operating rooms and equipment are maintained in a permanent state of readiness
• Examining patients' histories for allergies or illnesses that would affect anesthesia
• Evaluating and preparing patients, providing education about surgery and recovery, and discussing the side effects of anesthesia with them
• Determining the amount and type of anesthesia needed for the patient and the best way to administer it.
• Preparing and administering the proper dose of anesthesia.
• Monitoring patients' vital signs and their dose of anesthesia during medical procedures.
• Overseeing patients' safety during anesthesia recovery.
• Evaluating patients' progress before, during, and after medical procedures.
• Performing some administrative duties, such as ordering anesthesia, training new staff, and overseeing department finances.
• Any other ad-hoc duties assigned

Requirements

• Candidate must possess Diploma/Degree in Nursing from a recognised institution as approved by Singapore Nursing Board
• SNB registered Nurse
• At least 2 years of experience in healthcare operating theatre settings
• Prior Experience as a scrub nurse would be preferred

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Description:

Simple Food Solutions Pte Ltd is a dynamic OEM food manufacturing company dedicated to providing innovative and high-quality food products. We are looking for a creative and experienced Research and Development Specialist to lead our R&D efforts, drive new product development, and optimize kitchen operations.

Key Responsibilities:

1. Recipe Development and Product Innovation

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

2. Quality Assurance and Control (QA/QC)

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

3. Product Approval and Accountability

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

4. Collaboration with the Sales Team

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

5. Production Alignment and Management

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

6. Market and Trend Analysis

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

7. Documentation and Reporting

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

Qualifications:

• Minimum of 5 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Division of Family Medicine (DFM) at NUS research themes include chronic diseases, health longevity, cancer care, mental health, multimorbidity, family orientation and care coordination within the primary care setting.

We are looking to appoint a Research Fellow to support the primary care research programmes involving biostatistics. The Fellow will bring a combination of technical expertise in data science and applied statistical methods in primary care research.

The responsibilities include:

• Lead research projects that fall in DFM’s areas of interest and set up relevant research collaborations within and outside of the Division
• Provide support to other academic staff in the preparation of new grant proposals, ethics applications, manuscripts, and oral presentations
• Assist in the management of research activities including team coordination, mentoring of junior researchers, conducting research workshops and seminars
• Interact with interdisciplinary teams to build research capacity amongst our primary care partners
• Be a lead member of the research committee within DFM

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances.

Qualifications

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 1-year full-time appointment at the academic rank of Research Fellow. An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. Start date is flexible, with the position expected to commence in the first half of 2025.

Job Requirements:

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record
• Proven track record in handling and analyzing large healthcare dataset
• Track record of publishing in international peer-reviewed journals
• Strong communication skills in English, both written and spoken
• Strong leadership skills with the ability to work independently and as part of a multidisciplinary team
• Highly developed problem-solving skills and adept at managing complex research data
• Evidence of potential to generate and maintain an independent stream of funding
• Outcome-orientation with excellent organizational and project management skills, and attention to detail

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining DFM. Only shortlisted candidates will be contacted.

About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About The Team

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Qualifications

Minimum Qualifications

1. At least hold a Master degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python;

3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field;

4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Silverdale Capital Pte Ltd is a Monetary Authority of Singapore (MAS) licensed fund management company. We manage several award-winning funds, inter alia Silverdale Fund VCC: Silverdale Bond Fund, Silverdale India USD Bond Fund, series of Silverdale Fixed Maturity Funds (FMPs) and Silverdale Credit Opportunities Fund.

We are seeking talented Fixed Income Research & Investment professionals with 5-12 years of investment research experience in fixed income.

Key Responsibilities

• Generate fixed income investment ideas
• Deep dive credit analysis of existing and potential portfolio investments covering all aspects of the security (spreads, covenants, structure, swaps, hedges, etc.), issuer (cash-flows, ratings etc.) and macro factors (country, enforcement risks etc.), and presenting detailed Investment Notes
• Pro-actively contribute to the investment decision and process: by developing innovative trading / hedging strategies, reducing transaction costs, and identifying alpha opportunities
• Regular (daily/weekly) updates on fixed income strategy, macro factors, trends, fixed income securities pricing, portfolio positioning and market dynamics
• Assist in portfolio monitoring, trading, risk management and support, including trade monitoring, cash flow management, data analytics, market alerts, algorithms, etc.
• Develop professional relationships with other analysts, and industry experts

Skills/Qualifications

• Degree in Chartered Accountancy/Economics / Maths / Engineering / CFA with passion for investing and strong programming skills
• Strong understanding of macro risk factors, bond mathematics
• 5 years+ of fixed income research experience
• Exposure to Bloomberg and proficiency in programming languages (Python, SQL)
• Excellent analytical, communication and interpersonal skills
• Comfortable with real life uncertainties and ability to manage tight timelines
• Candidates lacking proficiency in MS-Excel, VBA, Macros to refrain from applying

Action Point

Apply to:[email protected]

• Assignments
  If your CV is shortlisted, you will be emailed two assignments that need to be submitted within 5 calendar days.
• Interview
  Successful candidates will be contacted for interview.
  

Job Description:

We are seeking a highly skilled and motivated Research Officer specializing in AI and spatial multi-omics to join our cutting-edge research team. This role focuses on advancing cancer immunotherapy (IO) for Asian-prevalent tumors through the integration of Generative AI techniques and spatial multi-omics data analysis. This position offers a unique opportunity to address critical challenges in immunotherapy, such as the identification of effective biomarkers and an in-depth understanding of the tumor microenvironment.

Key Responsibilities:

1. Multi-Omics-IO Classifier Development: Develop and validate a classifier to integrate IO biomarkers identified from the multi-omics analyses, benchmarked against conventional markers (e.g., PD-1/PD-L1).

2. AI Model Development: Create AI models for virtual staining to visualize gene expression and multi-omics biomarkers.

3. Collaboration & Reporting: Collaborate with pathologists, immunologists, and AI researchers to ensure robust, clinically relevant model development. Prepare reports, presentations, and manuscripts for publication.

Requirements:

• Bachelor degree in AI/ML, or a related field with a strong focus on imaging and deep learning.
• Technical Skills: Expertise in AI techniques and experience in omics data analysis.
• Strong programming skills in Python or R, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Familiarity with cancer immunotherapy and biomarker development.
• Analytical Skills: Proven experience in developing and evaluating complex machine learning models, especially for biomarker discovery and clinical applications.
• Collaboration & Communication: Excellent interpersonal and communication skills to work effectively within a multidisciplinary team of scientists, clinicians, and technical staff.
• Preferably with experience with virtual staining, explainable AI, and histopathological analysis. A track record of publications in high-impact journals and presentations at scientific conferences. Prior experience in developing and applying AI models in healthcare or clinical settings is a plus.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine. The Dept of Medicine at NUS is a very large research-intensive department and is dedicated to the advancement of human healthcare in Singapore first, but also beyond. More information on the department is available at https://medicine.nus.edu.sg/medi/. This Appointment will be made on a 1 year rolling contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator (Assoc. Professor Peter Goon) and other study team members to ensure the successful completion of their research studies (Virus-associated cancers with emphases on pre-cancer detection, host immunology, virology, and potential treatments, Skin cancers and drug reactions) on time. The RA’s principal role will be to work in general practices such as recruitment, data collection, laboratory experiments, data entry and analysis.

Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in hospital to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, laboratory experiments, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelor degree in medicine or science-related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experiences in the medicine areas of research (if confidential, the nature of the research in general)

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Farah bte Ahmad Rosman @ [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

The successful candidate will be a member of a translational team investigating and designing RNAi therapeutics for various epithelial disorders.

Responsibilities:

• Involvement in projects related to epithelial disorders.
• Perform wet lab experiments using techniques in molecular biology including immunohistochemical analysis, in situ hybridization and microscopy.
• Perform husbandry and genotyping of the laboratory’s mouse colony.
• Provide laboratory maintenance support and procurement activities.

Requirements:

• Bachelor’s degree in Life Sciences/Biomedical Sciences/Biological Sciences or related fields
• Experience in a laboratory environment.
• Willing to work with mouse models; prior experience is a plus.
• Excellent organizational and interpersonal skills and attention to details.
• Excellent oral and written communication skills.
• Highly motivated and passion for research.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

Working days: Rotating shift Mon - Fri (7-4pm, 9-6pm & 10-7pm), Alternate Saturday (8:30am-1pm)

Salary: $3000-$5000 (depends on Experience)

Location: Orchard

Roles and Responsibilities

• Admission of new patients to OR
• Ensure nursing care and able to relate with patient and relatives
• Manage patient files and records
• Prepare and perform all surgical procedures in a sterile manner, observing all principles of asepsis and sterility
• Prepare and maintain all surgical instruments in an organized and logical manner
• Conduct a full count of instruments and accessories before the start of an operation, after the closure of any major cavity, and the end of the operation
• Handle all sharps and contaminated waste in a safe and effective manner
• Assist with cleaning and transferring of patient to the recovery area
• Prepare and perform all surgical procedures in an appropriate manner, while observing all principles of asepsis and sterility
• Assist with surgical scrub as required
• Prepare the operating room and all equipment for each operation and ensure the functioning of such equipment
• Dispose of all sharps and contaminated waste in a safe and effective manner
• Assist with the cleaning and transferring of patient to the recovery area
• Register and record all instruments and sets received
• Report any anomalies in sets received (e.g. incomplete, broken instruments)
• At all times, ensure that both operating rooms and equipment are maintained in a permanent state of readiness
• Examining patients' histories for allergies or illnesses that would affect anesthesia
• Evaluating and preparing patients, providing education about surgery and recovery, and discussing the side effects of anesthesia with them
• Determining the amount and type of anesthesia needed for the patient and the best way to administer it.
• Preparing and administering the proper dose of anesthesia.
• Monitoring patients' vital signs and their dose of anesthesia during medical procedures.
• Overseeing patients' safety during anesthesia recovery.
• Evaluating patients' progress before, during, and after medical procedures.
• Performing some administrative duties, such as ordering anesthesia, training new staff, and overseeing department finances.
• Any other ad-hoc duties assigned

Requirements

• Candidate must possess Diploma/Degree in Nursing from a recognised institution as approved by Singapore Nursing Board
• SNB registered Nurse
• At least 2 years of experience in healthcare operating theatre settings
• Prior Experience as a scrub nurse would be preferred

Quah Siying (Jeslyn) R1982418

The Supreme HR Advisory Pte Ltd 14C7279

• Working hours: 5 working days ( PM or AM Shift - to be discussed)
• AM Shift 7 am - 3.30 pm / PM Shift 12pm - 930pm
• Salary: $2,500 - $4300 (depending on experience
• Location: Simei

Responsibilities:

• Work closely with the resident’s doctor and multi-disciplinary team to provide care to the residents; updates on changes in the residents’ condition and needs
• Ensure care delivery and nursing interventions as outlined in the care plan
• Work with allied health professionals and/or initiate preventive and rehabilitative nursing procedures
• Carry out and supervise assessments of all new admissions
• Prepare clinical documentation and ensure all documentations are current
• Prepare and administer medications to residents and comply with safe medication practices
• Supervise staff to ensure safe medication practice
• Participate in training and development of staff
• Work with Supervisor to conduct quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care
• Deal with emergency that arises and ensure prompt actions to mitigate the situation.
• Escalate promptly to supervisor, where necessary

Requirements:

• Diploma/Degree in Nursing or its equivalent
• With in-patient experience

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

• Salary: $2500 - $5000 + OT
• Location: Orchard
• Working days: 5.5 days, shift work
• Mon - Fri (7-4pm, 9-6pm & 10-7pm), Alternate Saturday (8:30am-1pm)
  *staggered hours 8 hours depending on the roster plan

Duties of a Recovery Nurse

Recovery nurses provide critical care to patients before and after surgery. Recovery nurses treat a wide range of patients. They clean wounds, administer medication and monitor the progress of the patients' conditions

Before Surgery

• Work with anesthesiologists, surgeons, and surgical nurses to prepare patients for surgery.
• To record vital signs, instruct patients on the details of the procedures and administer intravenous therapy and medication.
• Help doctors transfer patients to the operating room, and may be asked to clean wounds, sterilize equipment and make sure patients' rooms are ready for their arrival.
• To communicate with loved ones and inform them of patients' conditions.

After Surgery

After surgery, recovery nurses are patients' primary care givers.

• Monitor their vital signs, clean bandages and comfort patients when they wake up from anesthesia.
• Administer tests, analyze lab results and report back to surgeons and doctors.
• Track the progress of patients' conditions, and ensure patients receive adequate rest, food, fluids and nutrients.
• Teach patients how to clean their bandages, take medication and care for themselves after they leave the hospital

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

About WIL@NUS

WIL@NUS is the joint laboratory of Wilmar International Limited and National University of Singapore. The laboratory is involved in a wide spectrum of research areas including protein production and characterization, metagenomics and host strain development. A research scientist position is currently available for the microbial host strain development and the use of microbial system for industrial applications.

Responsibilities

• Design and conduct experiments, process and analyse data
• Write research papers, patent applications, reports, reviews and summaries and communicate/present results to colleagues, external scientists and stakeholders
• Collaborate with Wilmar-related companies to apply the research findings and develop improved techniques, products or practices
• Visit factories and other Wilmar-related research and development centres to liaise future research directions
• Attend international conferences on topics of interest to Wilmar Innovation Centre
• Develop new areas of research and write proposals

Qualifications/Requirements

• Ph.D. degree in biochemistry, microbiology, molecular biology or related discipline
• Work experience in general microbiology, molecular cloning, protein expression and biochemistry, experience in genome editing is preferable
• Ability to work independently and also work effectively in a team
• Good interpersonal skills and the ability to work harmoniously with a diverse workforce

DxD Hub QARA Team is seeking candidate to join the QARA team to support QMS implementation in design and development of software as medical device.

Candidate will receive training in the following areas:

• Understanding concept of ISO 13485:2016 standard and the impact of the requirements on lab operations.
• Management of Change.
• Management of deviation and nonconformity.
• CAPA and root cause analysis.
• Key concepts in IEC 62304/ISO 14971/IEC 62366.
• Software life cycle.
• Software safety classification.
• Conducting risk assessment and usability engineering study.
• Documentation requirements in software design and development .

Candidate will be supporting the QA and lab operations team in the following:

• Provide QA support to the software development team in their design and development activities.
• Participate in audit, when applicable.
• Raise NCR, conduct CAPA process.
• Draft/review software validation protocol/report .
• Draft/review project document.
• Other QA operations role, for example, drafting and reviewing SOP, material inspection.
• Assist in cross division work on ad hoc basis.

Job Requirements:

• Bachelor’s degree in Science or Engineering. Candidates with no experience may apply.
• Basic knowledge in programming.
• Working knowledge in Microsoft office.
• Good communication and presentation skill.
• Individual who is organized, highly motivated and results driven.
• Possesses intellectual agility and a strong team player.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.