The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.

Key Responsibilities:

• Assist in conducting research on large language models using supercomputing facilities
• Assist in conducting research on AI-assisted programming
• Assist in research publication on large language models and machine learning
• Software development and management

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Job Requirements:

• A Bachelor's degree in Computer Science, Electrical and Electronic Engineering, or their equivalent
• Experience in machine learning and large language models
• Good understanding of machine learning and large language models
• Good software development skills
• Strong mathematics foundation

​

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 Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.

As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/ for more information on Dr Pitt’s research.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data
• Designing and conducting computational experiments to evaluate the performance of machine learning models
• Collaborating with other researchers to interpret results and translate findings into clinical applications
• Writing and presenting research findings at scientific conferences and in peer-reviewed journals

Qualifications

• Master's degree in Computer Science, Statistics, Bioinformatics, or a related field
• Strong programming skills in Python, R, or other relevant languages
• Strong mathematical and/or statistical background
• Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Excellent analytical and problem-solving skills
• Good written and communication skills

The Singapore Centre for 3D Printing (SC3DP) serves to drive research development and industry adoption of additive manufacturing technology through collaborative projects with leading industry partners, and with schools and research centres within and beyond the University.

The initial appointment will be for one year, with additional years contingent upon satisfactory performance.

Key Responsibilities:

• Manage the projects with the defined milestones and deliverables
• Manage day to day laboratory activities and a team of researchers
• Manage laboratory facilities and support research projects
• Write and support research proposals
• Support the administration of major research/industry projects to meet deliverables and KPI
• Write and prepare communications content and interface with the industry
• Ensure processes and procedures are executed in compliance to the University’s policy framework
• Constantly seek improvement for laboratory operations (e.g. reduce cost and improve operational efficiency)
• Carry out hands on experiments with 3D printing machines
• Support to develop journal and conference articles
• Coordinate and organise activities related to the NTU Additive Manufacturing Centre (e.g. competitions, conferences and hosting visits)

Job Requirements:

• Ph.D. in the area of Industrial, Mechanical, and Materials Engineering
• Demonstrated experience in the area of design, methods, modelling, and Optimization for 3D design process, particularly in the aerospace applications of polymer and metallic powders and laser added 3D printing is preferred
• Knowledge of engineering design, multidisciplinary design optimization, FEA simulation and experience in laser added 3D printing will be considered
• A proven record of good research performance with publications in top-tier journals preferred
• Engineering Design and Optimization
• FEA Simulation
• SLS, SLM, FDM, PBF and DED 3D printing experiment
• Ultrasonic machining and CNC machining
• Optimization and control to improve quality of polymer and metallic powders
• Skills: FEM software (Comsol Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), UNITY3D, Visual C++, LabVIEW

We regret that only shortlisted candidates will be notified.

Dr Paws Vet Care is looking for senior veterinary nurses/assistants!

We are a new veterinary clinic located in the east part of Singapore. We aim to be a place where everyone works hard but still have a great time together. Friendly banter is allowed but paw-litics will be frowned upon.

We see dogs, cats and pocket pets. We also offer acupuncture services.

We are looking for EXPERIENCED full-time veterinary nurses with the following qualities.

• Only Singaporeans or Singapore PRs
• At least 2 years experience as a veterinary nurse
• Ability to commit for at least a year, the longer the better!
• Self-motivated and hardworking individuals with the ability to work as a team.
• Ability to multitask.
• Willingness to learn and take instructions
• Eager to learn attitude and be open to feedback.
• Willing to constantly upgrade on your veterinary nurse knowledge and skills.
• Love for animals.
• Fluent in English.
• Friendly, polite and able to provide good customer service

Your job scope will involve

• Interaction with clients both face-to-face and over the phone.
• Rotation work between being a receptionist and assisting vets with handling animals and surgeries.
• Dispensing medications
• Care for hospitalized animals.
• Maintaining clinic equipment and cleanliness, including general cleaning duties
• Other Ad-Hoc duties

Working hours:

• Clinic operating hours: Tues-Sat 10am-8pm. Closed on public holidays.
• No overnight duties
• 5 day work week
• 1 weekday and 1 weekend day off per week

Interested applicants please send your resume, expected salary and available start date to [email protected].

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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.

Senior Staff Nurse | AU | BCLS & AED Certified | SNB Registered | Orchard

Salary: $3,200 to $4,800
Location: Paragon Orchard
Working Hours: 8.30am to 5.30pm (Mon to Fri) 8.30am to 1pm (Sat), full time

Job Summary:

• Provide pre and post-operative nursing care.
• Monitor and assess patients during surgical procedures.
• Coordinate and collaborate with multi-disciplinary caregivers in providing safe efficient patient care.

Job Description:

1. Patient Care Management

• Perform check and prepare operating room readily for procedure.
• Respect and protect patients’ rights and confidentiality.
• Assess patient preoperatively and complete patient safety check prior to procedure.
• Check availability of supplies and anaesthetic drugs.
• Assist the anaesthetist with anaesthetic procedures.
• Coordinate with surgeon or anaesthetist to ensure smooth running of surgery list.
• Perform anesthesia nursing care under supervision of surgeon in the absence of anaesthetist.
• Assist in other nursing duties such as circulating and monitoring of post-operative patients.
• Provide guidance for junior staff to ensure quality-nursing care is rendered.
• Implement and maintain the principles of sterility and asepsis for all procedures and techniques.
• Comply with established guidelines of infection control practices.
• Recognize and intervene in emergency situation involving patient care or other team members.
• Document accurately and legibly in relevant patient care records and in billing of consumables and implants.
• Maintain safe custody of Controlled Drugs.
• Replenish anaesthetist supplies and drugs on daily basis.
• Collaborate with Nursing Manager /Team(s) to:
• Assess staff clinical competency
• Enforce peri-operative clinical nursing standards
• Enforce infection control practices

1. Patient Education

• Maintain effective communication and interpersonal relations with the patients and caregivers.

1. Professional Development

• Participate in continuing nursing education to maintain clinical knowledge and competence.
• Develop junior staff through mentoring and preceptoring activities.
• Provide constructive feedback to the Supervisor regarding staff clinical performances.
• Implement and conduct in-service education and unit-based orientation for the OT nurses.
• Serve as liaison, and resource person for the perioperative nurses.
• Assume additional responsibilities as assigned by Supervisors.

1. Resource Management

• Demonstrate proper use, care and maintenance of endoscopes, instruments, equipment, and supplies.
• Demonstrate proper and economical usage of sterile supplies and consumables.
• Assist in inventories and equipment maintenance.
• Ensure adequate daily supplies of consumables.
• Assist with optimal OT room utilization.

1. Risk and Quality Management

• Provide professional care through evidence-based approach.
• Report unusual and unsafe practices or events.
• Monitor and ensure compliance of infection control practices.
• Prescribe and implement fall prevention measures.
• Serve as a role model.
• Identify opportunities for process/ clinical improvement.

Job Requirements:

• Preferably Advanced Diploma / Degree in Nursing or its equivalent
• At least 1 or 2 years’ experience as a Staff Nurse in a clinical setting
• Registered Nurse with Singapore Nursing Board
• BCLS & AED Certified

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

The Division of Supportive and Palliative Care is conducting research projects to improve health services for patients with cancer and other serious illnesses. The projects aim to develop, evaluate and implement novel models of healthcare service delivery for palliative care. You will perform a variety of activities under the supervision of the Principal Investigator (PI) and/or the PI’s designate:

1. Conduct literature reviews;

2. Screen and recruit patients/ research participants;

3. Conduct semi-structured interviews with patients/ research participants;

4. Attend to the administrative and logistic needs of research projects;

5. Assess patients for supportive and palliative care needs and manage any identified needs.

Requirements:

1. Bachelor Degree in Nursing or Diploma in Nursing or equivalent;

2. Recognized nursing qualification and registered with Singapore Nursing Board (SNB) with valid BCLS certificate;

3. At least 2 years of clinical nursing experience;

4. Strong interpersonal skill, able to interact and manage participants and clinicians at all levels;

5. Motivated, independent and hardworking individual with a keen interest to learn and gain experience in health services research.

Job Summary

• Provide perioperative nursing care
• Assist surgeon during operation
• Monitor and assess patient during surgical procedures
• Coordinate and collaborate with multi-disciplinary caregivers in providing safe efficient patient care

Roles and Responsibilities

Patient Care Management

• Perform check and prepare operating room readily for procedure.
• Respect and protect patients’ right and confidentiality.
• Assess patient pre operatively and complete patient safety check prior to procedure.
• Check and ensure full preparation of set, suture, supplementary possible use of supplies prior to surgery.
• Assist patient’s positioning for procedure.
• Assist in IR procedure room
• Assist surgeon and anticipate surgeon needs during surgeries.
• Assist in anesthesia, recovery, circulating duties and any other duties within the team.
• Coordinate with surgeon or anesthetist to ensure smooth running of surgery list.
• Collect and prepare specimens for laboratory analysis where necessary.
• Provide guidance for new or junior staff to ensure quality-nursing care is rendered.
• Implement and maintain the principles of sterility and asepsis for all procedures and techniques.
• Comply with established guidelines of infection control practices.
• Recognize and intervene in emergency situation involving patient care or other team members.
• Document accurately and legibly in relevant patient care records and in billing of consumables and implants
• Assist and maintain safe custody of Controlled Drugs
• Collaborate with Nursing Manager /Team(s) to:
• Assess staff clinical competency
• Enforce peri-operative clinical nursing standards
• Enforce infection control practices

Patient Education

• Maintain effective communication and interpersonal relations with the patients and caregivers

Professional Development

• Participate in continuing nursing education to maintain clinical knowledge and competence
• Develop junior staff through mentoring and preceptoring activities
• Provide constructive feedback to the Supervisor regarding staff clinical performances
• Implement and conduct in-service education and unit-based orientation for the OT nurses
• Serve as liaison, and resource person for the perioperative nurses
• Assume additional responsibilities as assigned by Supervisors

Resource Management

• Demonstrate proper use, care and maintenance of endoscopes, instruments, equipment and supplies
• Demonstrate proper and economical usage of sterile supplies and consumables
• Assist in inventories and equipment maintenance
• Ensure adequate daily supplies of consumables
• Assist with optimal OT room utilization

Risk and Quality Management

• Provide professional care through evidence-based approach
• Report unusual and unsafe practices or events
• Monitor and ensure compliance of infection control practices
• Prescribe and implement fall prevention measures
• Serve as a role model
• Identify opportunities for process/ clinical improvement

Job Requirements:

• Min. 2 years of relevant experience as a staff nurse in clinical setting
• Minimum Advanced Diploma in Nursing
• Registered with the Singapore Nursing Board
• BCLS & AED Certified
• Mon to Sat, 5.5 Days
• 8.30am to 5.30pm & 8.30am to 1pm

Check out http://abercare.sg/jobs-vacancies/ for more details

Interested applicants may email your updated resume to [email protected]

Abercare.sg | EA License No. 18C9070 | KOH SU WEN, CLARISSA| Registration No. R24119504|

• Provide basic nursing duties (eg. phlebotomy, vaccination and wounds dressing).
• Deliver medical care and consulling to patient.
• Manage smooth and efficient clinic operation.

Requirements:

• SNB registered.
• At least 2 years of nursing experience in specialist clinic 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: R21100996

JOB DESCRIPTION

The candidate is expected to contribute to IME in:

1. Electrical test on 12" wafer for IV-CV measurement

2. CSAM operation

3. ESD test

4. Reliability chambers operation

5. Other lab related paper work

JOB REQUIREMENT

1. Bachelor’s Degree in EE & EEE background

2. Able do some computer programming

3. Ability to work effectively and independently

4. Ability to communicate and interact with staff and industry personnel successfully

5. Able to do some shift work requirement occasionally

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.

The Energy Research Institute at NTU (ERI@N) invites applications for the position of Research Scientist.

The Researcher will work on a project to conduct the R&D of GaN-based transistors on silicon substrates/engineered substrates (e.g. HEMT, MISHEMT, FinHEMT etc.) suitable for millimeter-wave (24-40GHz) low-voltage mobile communication applications.

Key Responsibilities:

• Develop fabrication process modules (e.g. ohmic, gate, interconnects etc) in wafer fabrication facility
• Fabrication, characterization and analysis of GaN-based transistors
• Assist in project review report drafting, project proposal drafting, slides preparation and publishing conference/journal papers
• Student project supervision (including JC and Poly students, IA Students, Final Year Project (FYP) Students, PhD students)

Job Requirements:

• Bachelor/Master/PhD in Electrical and Electronic Engineering or related field
• Expertise in semiconductor device fabrication and characterisation
• Knowledge in Gallium Nitride devices (e.g. HEMT, MISHEMT, FinHEMT etc) is preferred
• Must be self-motivated and be prepared to work independently
• Publication track record is an advantage
• Proficiency in English

We regret that only shortlisted candidates will be notified.

Dialysis Enrolled Nurse - Tampines / Cannulation / Perm Cath care [3770]

Location: Tampines
Salary: $2000 - $3000

Working Hours: Mon to Sat (inclusive PH)
- AM shift: 6.30am - 2.00pm
- Mid shift: 10.00am – 6.00pm
- PM shift: 2.00pm – 10.00pm

Job Descriptions:

• Providing nursing care to our renal patients. (Cannulation, Perm Cath care)
• Oversee and assist in the education of patients, ensure accurate nursing records are maintained and give and receive comprehensive nursing reports.
• Work closely with clinical nurse managers in all administrative aspects of management.

Job Requirements:

• Registration with Singapore Nursing Board is a MUST
• Centre operation: Monday to Saturday (inclusive PH)
• Training Provided

WhatsApp: +65 82026403

Email: [email protected]

14C7279 The Supreme HR Advisory Pte Ltd

R21103770 Chu Jenn Anne

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Location: Senja/Bukit Batok/Pearl Hill/Woodlands/Tampines Care Home

Roles & Responsibilities

Providing Quality Care

• Perform all nursing procedures, which include administration of medications, wound dressing and meal feeding.
• Assist Senior/ Staff Nurses during treatment and examination of residents.
• Carry out overall hygiene care for residents
• Accompany residents to participate in daily group exercises
• Any other duties as assigned by the Senior/Nurse Manager and Staff Nurses

Training & Development

• Participate in relevant quality improvement and assessment activities.

Administration and management

• Assist in maintaining residents' records on their condition and progress
• Educate family members of residents on the residents’ health conditions and help them gain understanding on the holistic care provided.

Educational Requirements:

• NITEC Certificate in Nursing from an recognised institution as approved by Singapore Nursing Board

State other requirements/qualities such as personality traits, interests or skills required for the job:

• Demonstrate good communications and people engagement skills, preferably the use of local languages and dialects.
• Good organisation ability
• Able to form networks and strong linkages with stakeholders.
• Able to work in shift

Years of Experience Required:

• Candidates with nursing qualification without experience will be considered.
• For Senior position, at least 6 to 7 years of experience, preferably with experience in public healthcare or nursing home sector.

Dialysis Enrolled Nurse

Location: Tampines
Salary: $2000 - $3000

Working Hours: Mon to Sat (inclusive PH)
- AM shift: 6.30am - 2.00pm
- Mid shift: 10.00am – 6.00pm
- PM shift: 2.00pm – 10.00pm

Job Descriptions:

• Providing nursing care to our renal patients. (Cannulation, Perm Cath care)
• Oversee and assist in the education of patients, ensure accurate nursing records are maintained and give and receive comprehensive nursing reports.
• Work closely with clinical nurse managers in all administrative aspects of management.

Job Requirements:

• Registration with Singapore Nursing Board is a MUST
• Centre operation: Monday to Saturday (inclusive PH)

Lee Wan Ling | Reg No: R23116154

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

Looking for New Graduate from Poly or University Nurses

Responsibilities:

• Provide direct patient care, assess conditions, and monitor vital signs.
• Administer medications and treatments under supervision.
• Maintain accurate patient records and assist in documentation.
• Collaborate with healthcare professionals for patient care.
• Educate patients and families on treatment plans.
• Ensure infection control and patient safety.
• Use critical thinking to address patient condition changes.
• Follow policies, procedures, and regulations.
• Engage in professional development and training.

Requirements

• Recognized Nursing Certificate or a comparable credential that has been recognized by the Singapore Nursing Board (SNB)
• Strong communication and interpersonal skills.
• Attention to detail and adaptability.
• Compassion, empathy, and teamwork.

We regret that only shortlisted candidates will be notified

Right Search Pte. Ltd.

EA Licence Number: 22C1170

Tel: 69784646

EA Registration Number: R23115790

EA Personnel: Ivy Wong

The Earth Observatory of Singapore (EOS) is a research centre at NTU with a mission to conduct fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS, please visit http://www.earthobservatory.sg.

EOS invites applications for a Research Fellow position in tephra hazard research relating to near real-time eruption detection, characterisation, and dispersal modelling. The main focus on this project revolves around regional infrasound detection and identification of volcanic activity. The successful candidate will work in a vibrant scientific department, participating in strong collaborations and frequent interaction with members of the volcano group and stakeholders in Singapore and the region.

The candidate will work under the supervision of Associate Professors Benoit Taisne and Susanna Jenkins with a team of international scientists on the integration of different eruption detection, characterisation, and modelling components. The candidate will work in a team to develop a framework that integrates multiple strands of data to ultimately automate volcanic event detection, characterisation and modelling of the resulting tephra hazard.

Key Responsibilities:

• Design framework to integrate multiple data sources (e.g. infrasound, satellite) that can refine eruption source parameters in near real-time
• Familiarity with tephra dispersal models (ideally 3D) and eruption source parameters
• Coordinate between multiple research partners involved in the project and explore the potential for additional strands of research
• Maintenance of documentation, including inhouse data repository, and GitHub repository
• Perform other relevant research tasks assigned by the Principal Investigator

Job Requirements:

• PhD in volcanology, atmospheric transport modelling, or related topics
• Established in the field with a good record of publications
• Able to mentor and coach undergraduate and PhD students
• Strong computational background (e.g., Python, Matlab…), with experience in a Linux/Unix working environment preferred
• Self-driven, able to work independently but also a good team player
• Demonstrate enthusiasm and willingness to learn
• Excellent English written and communication skills
• Independence in research direction and team spirit
• Team player and willingness to collaborate

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

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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 successful candidate will work with Professor Wu Jishan on synthesis and electronic properties of novel aromatic systems under a project on “Toward 3D Global Aromaticity Rules”.

The main responsibilities of the position include:

1. Organic synthesis of designed molecules
2. Physical characterization of the electronic and optical properties
3. Material applications

Qualifications

• Qualifications / Discipline: PhD degree in organic chemistry or physical chemistry or organic/supramolecular materials
• Skills: Strong in organic synthesis, good in physical chemistry
• Experience: Rich experience in organic chemistry, supramolecular chemistry, and organic materials, with strong publication record.

Looking for a reliable professional, providing a day to day operations in FAB inventories receipt, storage, issuance and transportation of materials.

• Oversee the FAB spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day in day out logistics operations.
• Co-ordinate with co workers and on the movement of FAB materials across IME Premises. Must work closely with the FAB purchasing and operation teams on all logistic needs.
• Always adhere to safety requirements at all times.
• Work on continuous improvement programs/ projects in FAB logistics operations.

Requirements

Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.

Experience:

• At least 1 year of warehouse operations or relevant academic experience can be considered
• Engineering background with wide contacts with semicon. material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.
• Experienced in purchasing, new system set-up for inventories and logistics operations will be an added advantage.Looking for a reliable, professional, providing a day to day operations in
  FAB inventories receipt, storage, issuance and transportation of materials.

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.

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with the public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This involves addressing intricate and unexplored challenges in various disease areas, including oncology, fibrosis, infectious diseases, and autoimmune disorders. EDDC is now seeking under the IFP programme a highly motivated candidate with specialized skills in high throughput phenomics, utilizing advanced experimental and computational techniques to accelerate drug discovery and development. The position requires the implementation of methods and workflows that incorporate high-content screening, automated image analysis, and data integration from diverse phenomics datasets. The candidate will apply advanced data analysis strategies, utilizing machine learning approaches for insightful decision-making in research.

This is an eighteen-month on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team working to evaluate, develop and integrate high-throughput experimental data with computational methods to drive innovations in biomedical research and therapeutic development.

Responsibilities:

• Experimental Design and Execution: Develop and implement high-throughput screening protocols, particularly utilizing High-Content Screening (HCS) methodologies. This entails integrating advanced microscopy and image analysis for comprehensive cellular studies.
• Data Analysis and Interpretation: Engage in the management and interpretation of large-scale data sets derived from high-throughput experiments. Employ statistical and computational methodologies to extract significant biological insights and patterns from complex data.
• Protocol Optimization: Innovate and refine experimental procedures to enhance the efficiency and accuracy of phenomics assays. This involves systematic protocol development and validation to ensure reproducibility and reliability of results.
• Collaborative Research and Data Recording: Foster multidisciplinary collaboration in a matrix organisation. This involves working cross-functionally to evaluate, develop and integrate experimental data to drive innovations in biomedical research. Maintaining robust data record-keeping as per EDDC policy, ensuring accurate documentation, and archiving of all research data in line with SOPs.
• Continual Professional Development: Maintain an up-to-date knowledge base in the field of high throughput phenomics and related disciplines. This includes staying abreast of emerging research, technological advancements, and evolving methodologies in phenomics, thereby contributing to the ongoing development and innovation within the lab"s research endeavours.

Requirements:

• Doctorate (Ph.D.) in Cell Biology, Molecular Biology, Bioinformatics, or a closely related scientific discipline
• Extensive experience in high-throughput screening methodologies, with a particular focus on High-Content Screening (HCS).
• Proficiency in fluorescence microscopy, image-based cytometry, and the application of automated image analysis techniques.
• A strong commitment to ongoing professional growth and staying abreast of current and emerging trends in high throughput phenomics and related scientific areas.
• Exceptional ability in both written and oral communication.
• Competence in presenting complex scientific data to varied audiences, encompassing both scientific and non-scientific communities.
• Demonstrated ability in handling and interpreting large-scale biological data sets.
• Proficient in the use of statistical software and programming languages relevant to bioinformatics, such as R and Python.
• A proven track record in designing and executing biological experiments.
• Evidence of scholarly contribution through peer-reviewed publications in relevant scientific fields.
• Experience in working within multidisciplinary research teams.
• Demonstrated skill in effective collaboration with both internal team members and external research partners.
• Ability to innovate and develop novel methodologies and technologies to advance phenomics research.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will be working closely with researchers from CQT and from Duke-NUS. He/she will be using quantum inspired data-science algorithms to better understand regulatory gene networks using clinical data.

Job Requirements

• The candidate must hold a PhD in numerical quantum physics or similar;
• The candidate must have a strong background in numerical computations, with expertise in exact diagonalization and/or tensor networks. Competences in neural networks will also be considered.

• Perform nursing duties.

Requirements:

• Registered Nurse under SNB
• At least 2 years of nursing experience in O&G

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: R21100996

• 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