The Opportunity

• My client, a leader in the Beauty industry has an exciting opportunity, to hire a passionate L&D Executive to join the APAC team.
• Dynamic & supportive work environment
• Location: Central - Hybrid Work Arrangements!
• Monday - Friday
• Salary: Up to $5k
• One Year Contract (renewable/ convertible subjected to performance)
• Candidates without experience are welcome to apply as training will be provided!

The Talent:

• Min Diploma/ Degree in Human Resource or Business Management
• Entrepreneurial. Every single day, you spot opportunities to shake things up and change the world for the better.
• Strong organizational skills coupled with precise attention to detail
• Strong written and verbal communication skills in English

Job Description

• Be responsible for learning administration- registration, communication, attendance, program administration including vendor management etc. and LMS management
• Contribute to the delivery and execution learning events and programmes
• Support in the activation of learners through self-directed learning, e-newsletters and other stand-up activation)
• Measure feedback and provide the same to monitor quality of providers & programs delivered
• Provide Head of People Development and Learning and HRDs with regular KPI dashboards and reports of various entities
• Support in the activation and administration process of performance management process, Year End process, and employee engagement survey
• Support the yearly Country Reporting Process in order to publish Learning KPIs in the annual report

Next Step

• Prepare your updated resume, send to the following email:
• [email protected]
• *Only shortlisted candidates will be contacted*

Amelia Lau An Qi

Direct Line: +65 6697 7987
EA License No: 91C2918
Personnel Registration Number: R1987023

Job Details / Job Description:

1) Internet Banking Testing - To assist in user acceptance testing

2) Mobile Banking Testing - To assist in user acceptance testing

3) ICH Testing - To assist in user acceptance testing for Integrated Multi-Channel Host.

4) Ad-hoc duties as and when assigned.

5) Perform manual testing for functional testing and regression testing.

6) Track and monitor testing progress and defect resolution.

7) Provide regular test progress to Team lead.

8) Assist in admin work like data update and other ad-hoc projects as assigned by the supervisors

9) Able to understand business requirements/functional requirements and translate them into test cases (fetch host data, test data preparation, Defect triages

Our client is a food service company with a diverse range of offerings, including quality dining establishments and food manufacturing.

• Design and execute training programs and curricula.
• Collaborate with the company to foster a learning culture within the organization.
• Implement and assess our WSQ, Non-WSQ, and e-learning training materials.
• Hold regular meetings with team members to identify and address their needs.

Requirements:

• ACTA/DDDLP Certified
• At least 4 years of stand-up training, On-the-Job training experience in the F&B industry.
• Possess a Level 3 Food Safety Course or as a Food Hygiene Officer is an advantage.

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

Responsibilities

• Preparing and arranging of food ingredients to meet the daily production demands
• Operating a variety of kitchen appliances including mixer and ovens
• Packaging of finished products to be sent to outlets / hotels
• Maintaining the cleanliness in the kitchens including cooking surfaces and equipment and utensils
• R&D new products

Qualities:

• Min 1 year of relevant working experience appreciated
• Should possess passion and interest in pastry-making
• A team player who works efficiently to fulfil the production demands
• Willing to learn new recipes and harness new methods of production

Working Hours:

• 8-9 hours work per day (8/9amam to 5/6pm)
• 6 days’ work week

Employee Benefits:

• Medical benefits
• Annual Leave
• Performance incentive
• Staff discount

Interested applicants, you may either apply via here or sent an email at [email protected].

At present, we do not require assistance from recruitment agencies. All applications should be submitted directly by candidates.

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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has a vacancy in the area of storm surge and tide modelling in the warming climate.

The upcoming Project funded by a Singapore Agency for 4 years includes regional (South-East Asia, SEA) dynamical downscaling of storm surges using CMIP6 GCMs atmospheric projections for 21st century. The particular emphasis will be on storm surges trend and extremes in Singapore coastal waters. The successful candidate will be responsible for:

• setting and running DELFT3D Flexible Mesh (DELFT3D-FM) model using past and projected atmospheric forces downscaled by an atmospheric team;
• use model experiments and data analysis to compute and understand mechanisms of regional (SEA) and Singapore Strait storm surge variability and trend driven by larger scale atmosphere/ocean processes.

Candidate will be having Ph.D. in ocean/coastal sciences/engineering from a reputable University.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following knowledge, skills and experience:

• Understanding of mechanisms of storm surge generation and propagation at various scales, from global to local.
• Understanding of mechanisms of ocean/coastal responses to the climate change.
• Capability to set and run regional numerical experiments using DELFT3D-FM model.
• Capability to apply modern data analysis methods developed for sea level research;
• Experience with XBeach and OpenDA methods and software is an advantage;
• Ability to work in multidisciplinary team of researchers, including ocean/coastal and atmosphere scientists;
• Track records in publications.

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

A Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

Interested applicants should include the following documents in the job application
1) Curriculum Vitae (CV)
2) Summary of past research experience
3) Description of long-term plans
4) 3 referees including their name, contact information (email) and relationship to applicant

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

A Research Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

The Hwei-Ee Tan lab studies the fundamental biological basis of “gut-feelings”, how bacteria in the gut signals to the host to influence physiology and behaviour. Using mice as a mammalian model, the lab investigates how diet and microbiome factors modulates host phenotypes (e.g. food reward, anxiety behaviours, etc). Besides supporting curiosity-driven basic research on the gut-brain axis, his lab is also studying the brain-gut axis, to uncover host-microbe interactions. His lab’s work is multidisciplinary, the research scope covers diverse skills from molecular biology to systems neuroscience, physiology and behaviour. With top-tier research support from National Research Foundation Singapore, Brain & Behavior Research Foundation (NARSAD), etc, his lab at NTU LKCMedicine is actively recruiting talented postdoctoral research fellows, research assistants, and interns, and also open to sponsoring motivated PhD/Masters students. Prior to submitting their application, postdoctoral applicants are strongly encouraged to also look up the lab’s website and email the PI with a CV/resume and a cover letter articulating their scientific ambition.

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.
• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.
• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record
• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience
• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection
• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics
• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualification

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on TikTok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize TikTok codebase, and make the code/coding become more accessible for TikTok engineers.

Job Responsibilities

1. Participate in the design and implementation of a high-availability, scalable, distributed large-model machine learning platform to support the development and efficient iteration of large models for TikTok;

2. Explore cutting-edge technologies related to large-model engineering(LLMOps), covering areas such as data processing, model training, inference services, evaluation system, automated orchestration, prompt engineering, and resource scheduling;

3. Construct a high-performance, cost-effective large-model inference service architecture that ensures high service availability.;

4. Explore the application of frontier large models, Code Agents, etc;

Qualifications

Minimum Qualification

- Bachelor's degree or higher in Computer Science or related fields, with good communication and teamwork skills;

- Solid programming foundation, good coding style, familiar with multi-thread programming, distributed computing, network communication, memory management, and design patterns;

- Experience in engineering R&D or infrastructure, proficient in at least one of the following development languages: C/C++, Python, Golang; and experience researching and developing distributed systems, with the capability and experience in optimizing system performance.

- Experience in developing and deploying large-scale models, including data processing, training, deployment, and evaluation and DevOps/MLOps;

- Experience in large-model service deployment and optimization and distributed scheduling, computing, and storage projects like K8s, Ray, Hadoop, Spark, HDFS;

- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, and understanding of large-model engineering frameworks like vllm/langchain.

Preferred Qualifications

- Passion for technology, good communication skills and team spirit

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

• Diploma/Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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 Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Key responsibilities:

• Provide 24x7 production support onsite / offsite.

• Investigate production issues, determine production defect severity and provide workaround to user if feasible to move business forward

• Manage and respond to users on timely manner.

• Log incident ticket for production issues and user queries

• Provide necessary information needed for further investigation to next level support (L3) to proceed with fix

• Prioritize defects and plan for production release based on defect criticality or align with quarterly release

• Follow up on defect and incident closure and meet incident closure KPI

• Share production defect support learning with QA team and development team to improve application quality and minimize future defects

• Make sure system availability as per respective agreed SLA

• Support EOD batch run

• Perform annual Disaster Recovery (DR) exercise for supported applications

• Provide support to System Engineers on server level patches / upgrade as and when applicable

• Ensure proper knowledge transfer (KT) from project / development team before enhancement release

• Ensure application documentation is properly updated for each production release

Key skills required:

• Mainframe, Cardlink

• COBOL, JCL, VSAM, CICS, Ezytrieve

• Microsoft Office

The Hwei-Ee Tan lab studies the fundamental biological basis of “gut-feelings”, how bacteria in the gut signals to the host to influence physiology and behaviour. Using mice as a mammalian model, the lab investigates how diet and microbiome factors modulates host phenotypes (e.g. food reward, anxiety behaviours, etc). Besides supporting curiosity-driven basic research on the gut-brain axis, his lab is also studying the brain-gut axis, to uncover host-microbe interactions. His lab’s work is multidisciplinary, the research scope covers diverse skills from molecular biology to systems neuroscience, physiology and behaviour. With top-tier research support from National Research Foundation Singapore, Brain & Behavior Research Foundation (NARSAD), etc, his lab at NTU LKCMedicine is actively recruiting talented postdoctoral research fellows, research assistants, and interns, and also open to sponsoring motivated PhD/Masters students. A short-term or part-time research assistantship may also be arranged for motivated trainees. Applicants are strongly encouraged to look up the lab’s website and email the PI with a cover letter and a CV/resume.

Key Responsibilities:

• The applicant must be exceptionally self-motivated, a team player, willing to assist with essential lab duties and learn new skills, and is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).
• The research assistant will learn and assist with a range of work, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office/administrative help.

Key Competencies / Requirements:

• Hold Master's degree in Biology or relevant disciplines
• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience
• Be proficient in relevant techniques described above
• Be highly motivated and conscientious
• Work independently, and also have the ability to work effectively in a team
• Have good organisational, verbal and interpersonal skills

The Hwei-Ee Tan lab studies the fundamental biological basis of “gut-feelings”, how bacteria in the gut signals to the host to influence physiology and behaviour. Using mice as a mammalian model, the lab investigates how diet and microbiome factors modulates host phenotypes (e.g. food reward, anxiety behaviours, etc). Besides supporting curiosity-driven basic research on the gut-brain axis, his lab is also studying the brain-gut axis, to uncover host-microbe interactions. His lab’s work is multidisciplinary, the research scope covers diverse skills from molecular biology to systems neuroscience, physiology and behaviour. With top-tier research support from National Research Foundation Singapore, Brain & Behavior Research Foundation (NARSAD), etc, his lab at NTU LKCMedicine is actively recruiting talented postdoctoral research fellows, research assistants, and interns, and also open to sponsoring motivated PhD/Masters students. Prior to submitting their application, postdoctoral applicants are strongly encouraged to also look up the lab’s website and email the PI with a CV/resume and a cover letter articulating their scientific ambition.

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.
• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.
• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record
• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience
• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection
• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics
• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

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 the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of machine learning.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Senior/Analyst – Research & Data Analytics

Our client is building a Data Analytics and Research team. It's a great opportunity to provide actionable insights that inform organizational strategy and decision-making.

The Responsibilities:

• Lead, conduct in-depth research and data analysis initiatives
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into intelligence that is actionable
• Design and develop databases, spreadsheets, and analytical tools for data tracking and interpretation
• Identify and uncover new insights, trends & patterns, and communicate and discuss with key stakeholders
• To build sustainable processes and constructs models to support the expanding data volumes and ensuring data quality & accessibility
• Regular review and validate for continual improvements and ensure the business value has been met

The Requirements

• Bachelor’s degree in Finance, Accounting, Statistics, Business or related field/equivalent experience
• Over 3 years’ experience in Research and Data Analysis.
• Familiar with data visualization and reporting tools such as Tableau, Power BI, Qlik Sense
• Ability to work on multiple projects involving multiple senior stakeholders concurrently
• Strong presentation and communication skills
• Team player with good interpersonal and problem solving skills
• Strong analytical skills and able to work under tight timelines
• 2 positions available

Office Location: Central

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176).Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

The Operations specialist leads and manages the team to achieve operational excellence. This includes overseeing the receiving, storage, order processing, and shipping of products while maintaining a safe and organized work environment. The Operations Specialist will collaborate with cross-functional teams to optimize processes, implement best practices, and drive continuous improvement initiatives.

Key Responsibilities:

v Candidate is in charge of the overall supervision an entire organization

v Assist with operations that may require to carrying loads>20kg

v Lead, mentor and motivate all staff to achieve performance targets and objectives.

v Conduct regular performance reviews, provide constructive feedback, and oversee day-to-day warehouse activities, including receiving, put-away, order picking, packing, and shipping.

v Monitor and manage inventory levels to ensure accuracy and timeline Identify areas for process improvement and implement strategies to increase efficiency and productivity.

v Implement best practices for inventory management, order fulfillment, and quality control.

v Ensure compliance with health and safety regulations, and implement safety measures to prevent accidents and injuries.

v Conduct regular safety training and promote a safety culture within the team.

v Collaborate with customer service and sales teams to meet customer requirements and address any issues related to order fulfillment.

v Generate and analyze key performance indicators (KPIs) to assess overall performance and make data-driven decisions.

v Prepare reports on operational metrics, inventory levels, and order accuracy.

v Coordinate with vendors and suppliers to ensure timely and accurate deliveries of goods.

v Evaluate vendor performance and negotiate contracts as needed.

Requirements:

v Bachelor's degree in Business Administration, or related field.

v Must hold an Airfield Driving Permit (ADP)

v Physically fit to carry heavy objects

v Execute other ad-hoc duties as required by the management from time to time

v the ability to work under pressure

v Willing to work within opening hours (e.g. Night Shift/ Rotating Shift / Weekends)

**We regret to inform that only shortlisted candidates would be notified**

Our client is a main contractor that handles various projects in Southeast Asia.

• Create and implement L&D strategies and policies.
• Run internal and external training programs.
• Take part in campus fairs for graduate engineers and interns.
• Monitor and update training records and employee learning progress.
• Perform staff orientation and briefings for new hires.

Requirements:

• ACTA Certified
• Diploma in Human Resource or equivalent.
• At least 5 years of L&D and recruitment experience in Construction Industry.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

Job description: Middle School Science Online Tutor

Are you passionate about inspiring young minds in the fields of biology, chemistry, and physics? We are seeking a dedicated and experienced science tutor to join our team and help middle school students excel in their studies through online tutoring.

Key Responsibilities:

• Provide engaging and interactive online lessons in biology, chemistry, and physics.
• Foster a supportive virtual learning environment that encourages student participation and curiosity.
• Tailor lessons to meet the diverse needs of students and adapt to different learning styles.
• Assess student progress and provide constructive feedback to promote continuous improvement.

Qualifications:

• Proven experience in teaching science to middle school students.
• Strong content knowledge in biology, chemistry, and physics.
• Patience and the ability to communicate complex concepts in an understandable way.
• Excellent interpersonal skills and a passion for helping students succeed.

Why Join Us?
At JF Smart Learning, we believe in the power of education to change futures. We use the JF Smart Learning G.A.P. method for tutoring, and full training will be provided. We offer a friendly and professional environment where you can make a real difference in students' lives.

If you are enthusiastic about teaching and ready to inspire the next generation of scientists, we would love to hear from you!

How to Apply:
Please send your resume and a brief cover letter detailing your experience to [email protected] or WhatsApp us at +65 8076 7023. For more information about our approach, visit us at www.jfsmartlearning.com

Join us in making science fun and accessible for all!

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• Conduct independent research in areas related to material science and engineering in soft robotics/self-healing / soft interfaces
• Develop and implement robotic control systems
• Optimization of formulation for UV 3D printing / direct ink writing 3D printing
• Contribute to ongoing soft robotics research
• Design and prototype using CAD software and 3D printing technologies
• Collaborate with faculty and other researchers on interdisciplinary projects
• Publish research findings in peer-reviewed journals and present at conferences
• Assist in mentoring students

Job Requirements:

• Ph.D. in Material Science, Engineering, Robotics, Sensors, or a closely related field
• Strong background in formulations for 3D printing
• Experience in soft robotics applications
• Proficiency in CAD software and 3D printing technologies
• Strong programming skills (e.g., Python, C++, MATLAB)
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Experience with machine learning and AI applications in engineering is advantageous

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

Working Location: Islandwide, can be discussed.

Working hours: 5 days per week, 10-9pm (Weekdays), 10-8pm (Weekends)

Attractive remuneration package commensurate with relevant experience.

Job Description

• Provide professional TCM consultation and treatments to patients
• Attend to patients’ enquiries about treatments and other TCM-related queries
• Ensure proper documentation of treatment services and medicine assigned to patients in TCM database
• Attend TCM health talks and workshops
• Adhere to the TCM Physician’s Code of Conduct and MOH’s regulatory requirements

Job Requirements

• Diploma/Advanced Diploma/Degree in TCM
• Candidates must possess a valid certification with the Singapore TCM Practitioners Board
• Basic IT knowledge
• Friendly personality, cooperative and work well with co-workers
• Be open to learning new things
• Must be able to work on weekends and public holiday

Work Location: Multiple locations across Singapore!

Interested candidates, kindly submit your updated resume via online application or email your resume to [email protected]

We regret that shortlisted candidates will only be notified.