The Compound Manager is responsible for the efficient handling and organization of chemical compounds within EDDC. This includes collaborating with cross-functional teams, maintaining an organized and well-documented compound inventory, and adhering to safety and regulatory guidelines. The Compound Manager also manages time and automation resources, serves as the primary point of contact for compound management, and develops and executes detailed scripts for all wet plating processes.

Job Description:

Responsibilities include but are not limited to:

• Manage the DMSO stock compound collection and all incoming sample plating requests.
• Support all screening projects in EDDC including storage and distribution.
• Manage time and automation resources supporting all wet compound plating activities.
• Serve as the primary point of contact for compound management.
• Timely Documentation of all compound handling tasks.
• Develop liquid handler methods, troubleshoot, and perform basic maintenance.
• Conduct process mappings, gap analysis, and develop executable plans of action.
• Engage with screeners to design, develop, and implement custom fully automated processes to increase throughput and walk-away time.
• Write and execute detailed scripts for all wet plating processes.
• Conduct bi-weekly QC of all liquid handling instruments and compound stores.
• Conduct annual QC of department compound collections.
• Report monthly metrics to the team.
• Create and verify the accuracy of all inventory files and plate maps available to the screening community.

Job Requirements:

• Bachelor’s or Masters Degree in biological sciences, chemistry or related field
• At least 5 years academic or industrial experience in biology or chemistry laboratories as a technician or research officer.
• Experience with inventory management of samples or compounds, database software.
• Strong organisational and communication skills, demonstrated ability in establishing and managing research partnerships.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Willingness to learn new techniques and adapt to changing priorities
• Experience in lab automation and liquid handling platforms preferred.
• Knowledge and experience of the process of performing high throughput screening assays using microplates preferred.

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 the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC 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 at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

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

Job Responsibilities:

• Manage full spectrum of HR functions
• Manage and handle employee’s records, payroll, claim and leave via Info-Tech System, including leave type entry, entitlement, application, certificate collection & approval and daily employee’s attendance
• Responsible for work pass administration such as work pass applications, renewal, cancellation and issuance
• Perform daily HR duties from on-boarding to off-boarding
• Coordinate with all departments on hiring plans, resignations, confirmation and all HR related matters
• Ensure timely & accurate submissions in all government and related claims, e.g. CPF, Childcare Leave, Maternity/Paternity Leave, NS makeup claims, income tax (IR8A & IR21) matters etc.
• Administer training related matters including coordination or enrolment of internal & external courses, update & maintain training record etc.
• Prepare weekly/monthly reports in a timely and accurate manner
• Provide advice and handle all employee inquiries on HR-related matters
• Undertake any ad-hoc projects assigned by the superior/management team from time to time

Job Requirements:

• Possess a Diploma or Degree in Human Resources or Administrative / Business Studies
• Minimum of 3 years of relevant working experience.
• Familiar with MOM regulations and HR practices
• Good communication, writing and interpersonal skills
• Attention to detail and well organized.
• A team player with a strong sense of responsibility & self-motivation to get tasks done independently

Interested applicants please submit detail resume and include information on the following:

• Reasons for leaving current and/or last employment.
• Last drawn salary and expected salary.
• Date of availability and/or Notice Period
• All applications will be treated in strictest confidence and only short-listed candidates will be notified.

Location: Near Taiseng MRT

Job Responsibilities:

1. Customer Inquiries:

• Respond promptly to customer inquiries via various channels, including email, chat, and social media.

• Provide accurate and helpful information regarding products, orders, and general inquiries.

2. Order Assistance:

• Assist customers in placing orders, modifying orders, and processing returns or exchanges.

• Collaborate with the operations team to track and monitor order statuses and deliveries.

3. Problem Resolution:

• Investigate and resolve customer issues and complaints in a timely and effective manner.

• Work closely with other departments to ensure comprehensive issue resolution.

4. Product Knowledge:

• Develop a strong understanding of Chello's product offerings to provide detailed information and product recommendations.

• Stay updated on new product launches, features, and promotions.

5. Communication:

• Maintain clear and professional communication with customers to ensure a positive and seamless customer experience.

• Communicate proactively regarding any potential delays or issues with orders.

6. Customer Feedback:

• Gather and document customer feedback to identify trends and areas for improvement.

• Provide insights to the management team for enhancing the overall customer experience.

7. Administrative Tasks:

• Perform administrative tasks related to customer service, including order processing, data entry, and documentation.

8. Collaboration:

• Collaborate with the operations team to address customer-related challenges and streamline processes.

• Work closely with other departments to ensure a cohesive and customer-centric approach.

Job Requirements:

• Strong interpersonal and communication skills.

• Customer-focused with a passion for delivering excellent service.

• Detail-oriented and able to handle multiple tasks simultaneously.

• Proficient in using customer service software and platforms.

• Good spoken and written English.

• Previous customer service experience in the e-commerce or fashion industry is a plus.

If you are passionate about fashion and enjoy working in a fast-paced environment, we encourage you to apply for this exciting opportunity at [email protected]

As teachers, you build the foundation of education. You equip students with essential skills and sound values to prepare them for life. Anticipate a career of lifelong learning, as you grow alongside your students.

We are looking for individuals with subject content knowledge and good communication skills to deliver the school curriculum effectively. Applicants will need to have good personal attributes for teaching and a willingness to learn; in addition to the ability to inculcate sound moral values and relate to the young. Applicants should also have the fitness and stamina to deliver lessons, and resilience required to engage students safely and carry out their duties effectively.

In addition, applicants should possess one of the following entry qualifications to meet the requirements for pre-service teacher training at the National Institute of Education (NIE).
• University degree; or
• equivalent qualifications

The application window is open from 2 Feb 2024 to 26 Feb 2024. If you would like to be considered for a teaching position under the PGDE programme, you are required to:

• Go to the Careers@Gov job post at www.moe.gov.sg/teach2024

• Click "Apply Now" in Careers@Gov to fill in the FormSG application form.
• Indicate your preferred teaching subjects.
• Attach all your educational transcripts along with your application. If you have not received your official transcripts, you can submit your latest transcripts at point of application.

You will need to submit your application by 26 Feb 2024, 11.00 PM. Only applications received via the FormSG application form will be considered.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

For teachers with professional teaching qualifications, please refer to the application details at https://www.moe.gov.sg/careers/become-teachers/pri-sec-jc-ci/trained.

Being at the frontline, the Guest Relations Officer is the first contact point when a guest check-in at a hotel. He/She will deliver exceptional guests' experience and manage guests professionally to promote positive impression.

Responsibilities

• Ensure checking-in and out is done promptly and efficiently in accordance to the procedure of the Hotel
• Give a warm welcome to guests on arrival and register them as well as issuing room keys by using the appropriate standards
• Interact and attend to guest’s enquires
• Handle cashiering duties
• Maintain the filing system and required reports
• Handle guest reservation using Opera system
• Provide information about amenities, major attractions and hotel services.
• Anticipate guest needs and build rapport with customers.
• Ensure the safety, security and loss control policies and procedures are compiled with at the front counter and back office area.

Requirements

• People orientated with excellent customer service skill
• Communication skills (written/verbal)
• Proficient in OPERA will be added advantage
• Able to perform rotating shift, PH and weekends

You may contact 68097322 directly for more information.

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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Track-record working on quantum algorithms and/or quantum information. Candidates with expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• PhD in electrical engineering, computer science, physics or applied mathematics.

• Well-rounded research profile and ability to communicate research.

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.

Job Description

Our PLSE research group in National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). We are looking for a highly skilled and motivated research assistant to join our team and help in ongoing projects related to large language modelling. This role involves conducting advanced research and development in the field of AI and SE, with a focus on improving the robustness and effectiveness of large-scale models. The candidate will play a key role in devising innovative algorithms, conducting experiments, and contributing to the advancement of our technology and products.

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 in the following research areas:

• Artificial Intelligence and Machine Learning
• Programming Languages & Software Engineering

Key Responsibilities
• Assist in research projects assigned.
• Design and implement algorithms to enhance the efficiency and robustness of AI systems.
• Publish research findings in top-tier conferences and journals.
• Collaborate with cross-functional teams to integrate AI solutions into products.

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s or higher degree with Honours in Computer Science or a relevant area (e.g., Math, Analytics).
• Proven experience in research of large language models and deep learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
• Ability to conduct independent research and solve problems.
• Experience in research paper writing.
• Good communication and collaboration skills.
• Experience with adversarial training and algorithm optimization is a plus.

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development. The candidate will work closely with our researchers, students, and professors to understand and derive insights from scientific experiments and data. The successful candidate will be assisting in the research of microelectronic devices and circuit designs for reliable hybrid component integration from a thermomechanical aspect to enable broad class of applications for dual-use relating to IoT microelectronics and Flexible Hybrid Electronics (FHE).

Responsibilities will involve:

1. Develop and design thermomechanical experiments, prototypes, and proof-of-concept models to test hypotheses.
2. Identify engineering challenges and work on solving complex technical problems.
3. Gather and analyze data from experiments and simulations.
4. Create prototypes of new products or systems
5. Maintain accurate and detailed records of research activities, methodologies, and results.
6. Collaborate with other engineers, scientists, and researchers to achieve project goals.
7. Assist in equipment purchase, commissioning, and ownership.

(Interested applicants should send their curriculum vitae via email to [email protected]).

Qualifications

• A master’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• At least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field.
• Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have an advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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 Global Asia Institute at the National University of Singapore invites applications for a postdoctoral research fellow position. The Institute is seeking scholars with strong skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in economics or related fields.

The Institute is well supported by a team of research assistants. Successful candidates will collaborate with a team of passionate researchers to work on projects which have immediate policy and commercial implications.

There will be no teaching obligation for the first contract. Salaries are globally competitive and commensurate with the candidate's qualifications, track record, potential, and experience. Shortlisted candidates will be notified of an online interview

Qualifications

An outstanding record in accredited PhD program in economics or related fields

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 participate to the development and design of a quantum processor using neutral atoms array. In particular, participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

Toa payoh Condominum require one Property Officer to assist the management office for maintenance the estate, facilities and equipments. Please send in your CV and indicate your years of experience, highest qualification attained & your employmnet history (start with current), we will arrange for interview.

Ø To Check all drawings, specifications and schedule of works as per the contract document and reporting the discrepancies to consultant and contractor in order to avoid progress delay.

Ø Full-time site supervision and inspections to ensure that all structural works are carried out as per approved specification and also as per drawings with approved material in an appropriate sequence and methods.

Ø Inspect and monitor quality of architectural finishing materials delivered to site and quality of workmanship.

Ø Carry out supervision and co-ordination of architectural works of the project and shall exercise all reasonable skill, care and diligence in discharge of the contract.

Ø Assist RE in supervision and inspecting all structural works.

Ø Assist CPM in site progress and update proper site records about the progress of work and documentation.

Ø Attend site meetings and site walks with clients and consultants.

Ø Ensure timely submission of shop drawings, method of statement, other technical submissions, material samples and trade demonstration by the contractors.

Ø Assist and co-ordinate with consultants to resolve any technical and interfacing issues.

Ø Familiar in consultant Quality Management System and make proper documentation for QMS audit to comply HDB audit.

Ø Liaise with contractor on work schedule, progress, work quality and quality control etc.,

Ø Witness and verify any field test carried out on site.

Ø Monitoring Site Instrumentation report (Settlement marker, Vibration report, Noise meter).

Ø Update Monthly progress report and daily site activities report.

Ø Enforce quality control, Safety management, Vector control and tidiness of the work site.

Ø Update monthly Consultant Safety and Vector report.

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 Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

Job Description

• You will be responsible for the daily operation of all matters relating to maintenance & management of the site
• Daily site inspection

Requiements

• Degree/Diploma in Property Management or equivalent
• Min 2-3 years of Facility &/or Property Management experience
• Knowledge in BMSMA & other relevant regulations
• Process good interpersonal & supervisory skill

If you aspire to be part of our dynamic team, please email us your detailed resume indicating current and expected salaries via the APPLY NOW button below.

We regret that only shortlisted candidates will be notified.

Thank you for applying.

LOCATION: PASIR PANJANG

JOB RESPONSIBILITIES

• Responsible in overall supply chain which includes procurement, shipping, inventory planning and warehousing in Asia regions in Marine Navigation and Communication industry
• Assist other sections and departments in procuring of stock and consumable items at the lowest available prices and yet technically compliant and acceptable within delivery time.
• Evaluate all Vendors/Suppliers and categorize them
• Maintain and update Approved Vendor List on a monthly basis
• Issue purchase orders
• Upkeep and maintain historical records of past and current purchases
• Monitor all returns to suppliers for repair / replacement
• Ensure packing of goods for customers is done in a quality manner
• Prepares Deliver Order and shipping documents pertaining to delivery of spares and equipment to customers.
• To ensure that correct part numbers of equipment and spares are documented in all documents
• Ensure delivery of goods to customers is done in a timely manager
• To assist in the issuance of materials to internal customers
• To receive, check and verify the equipment delivered to the Store in terms of accuracy of item, quantity and quality
• To conduct inventory cycle count of all stock keeping unit and ensure accuracy.
• To maintain proper records of all items received and issued
• To ensure proper housekeeping, purchasing, security and layout of stocks in the store in accordance with Company’s regulations and procedures
• To participate in Company’s annual stock-take as directed by your supervisor
• Keep track of all delivery schedules and shipment dates.

JOB REQUIREMENTS

• Minimum a Diploma in Supply Chain/Engineering/Business Administration
• At least 3 year’s working experience in Marine Navigation and Communication industry field
• Those without relevant experience could also apply as training will be provided
• Experience in using ERP system
• Proficient in MS Office (Words, Excel)
• Able to communicate with all levels, self-driven and a team player
• Good negotiation and planning skill
• Forklift driving licence (optional)

Interested candidates please send us your latest resume stating your current and expected salary as well as your availability.

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 Dr. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, 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

A bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

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 A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

Job Description

• You will be responsible for the daily operation of all matters relating to maintenance & management of the site
• Daily site inspection

Requiements

• Degree/Diploma in Property Management or equivalent
• Min 2-3 years of Facility &/or Property Management experience
• Knowledge in BMSMA & other relevant regulations
• Process good interpersonal & supervisory skill

If you aspire to be part of our dynamic team, please email us your detailed resume indicating current and expected salaries via the APPLY NOW button below.

We regret that only shortlisted candidates will be notified.

Thank you for applying.

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 Dr. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving 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.

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.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. 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.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.

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 Research Fellow (Postdoc) will conduct research in the field of coastal engineering, in terms of wave dynamics and sediment transport. Coupling of different types of wave signals such as ship wakes, wind waves will be considered. The study of sediment transport will take the input from the wave dynamic simulations. Numerical simulations and experiments will be conducted.

Job Requirements

• Candidates with background in coastal and ocean engineering, especially with experience and knowledge in experiments and numerical modelling, hydrodynamics, wave theories, and sediment transport are encouraged to apply.
• Possess a PhD degree with relevant research experience.
• Strong writing skills.
• Good time management and data analytic skills.
• Excellent interpersonal and communication skills.
• Strong quantitative analysis.
• Having prior good publication record is advantageous.
• Open to fixed-term contract.