The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Senior Research Fellow position. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronaviruses. Our research helps to understand the molecular drivers of virus evolution and population dynamics, and their influence on virulence and pathogenicity.

The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment. The candidate should possess a strong background in molecular virology and/or immunology, and will utilize metagenomics sequencing and virologic techniques to understand the evolutionary dynamics of different RNA viruses. The candidate will be involved in developing antiviral antibody therapies in the prevention and treatment of virus disease.

The candidate is expected to perform a variety of research under the Principal Investigator’s supervision or his/her designate. The main duties and responsibilities will include but are not limited to the following: -

• Conduct and design experiments for rapid molecular diagnosis and efficient genomic sequencing
• Perform bioinformatics and phylogenetic analyses
• Develop and test novel antiviral preventive or therapeutics against virus infections.
• Conduct in vitro and in vivo experiments to study virulence and pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Virology, Molecular Biology, Immunology or other related disciplines.
• Have a strong background in molecular virology, particularly on RNA viruses.
• Possess strong laboratory skills and experience in animal research.
• Prior experience with antibody techniques is preferred.
• Possess excellent analytical, organisational, and communication skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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.

The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

Job Description

Client Service Research Associates (CSRA) play a vital role in service of Bridgewater’s overall client service strategy. From their unique position at the heart of Bridgewater’s client-focused research activity, these individuals have an aerial view into our ever-evolving perspectives on world markets, high-impact company-wide projects and our investment philosophy and processes. CSRAs work closely with Client Advisors and Bridgewater’s best & brightest investment minds, collaborate on how to handle different client-focused research or performance reporting projects and execute on the approach by project managing, performing analyses and generating insights to help shape clients’ investment thinking or provide transparency into our performance and positions to meet clients reporting needs.

Bridgewater’s market-driven approach to client service requires our CSRAs to continually expand their understanding and knowledge of the markets. Through formal training and informal on-the-job instruction, CSRAs become well-versed in our investment approach, process and different strategies, our book of business, and our production systems. Successful CSRAs will:

• Develop a holistic understanding of portfolios and portfolio management principles
• Understand the depth and breadth of Bridgewater’s market knowledge as well as its pioneering work in institutional asset management and alpha and beta separation
• Contribute to Bridgewater’s world-class client service strategy through creative thinking about how to generate insights and convey key messages to our clients about our investment philosophy, strategies, performance and outlook in the markets.

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here.

You will drive the following responsibilities:

• Understand Bridgewater's book of business, related commercial strategy and our investment thinking
• Contribute to Bridgewater’s world-class client service strategy through creative thinking about how to generate insights and convey key messages to our clients about our investment philosophy, strategies, performance and outlook in the markets
• Strategize with Client Advisors, other Research teams and investment professionals (at times including ClOs and other Sr. Researchers) and help develop best approach to handle client requests, enable high quality client engagements
• Apply analytical skills, market knowledge, and an understanding of Bridgewater's investment methodology to create insights to help shape clients' investment thinking or deliver client-ready portfolio position and performance reports to allow our Client Advisors, Investment Strategists and Chief Investment Officers to tell the Bridgewater investment story in a rich and accurate way
• Work creatively with existing methodologies and tools to identify and solve problems in how we serve clients by contributing to the creation of new tools, models, and or "machines" to automate and streamline our processes

The CSRA role is a great opportunity to transition into Bridgewater. While the position does not require deep experience in asset management, qualified candidates will have prior experience in a related professional services environment. We are looking for intellectually curious individuals who enjoy solving complex problems.

Job Requirements

• Bachelors or Master’s degree from a competitive school with a strong academic and extracurricular track record
• Interest for and understanding of markets and investing
• Ability to solve complex problems through analysis
• Aptitude for creative quantitative work involving financial and economic data
• Keen customer service mentality
• Ability to multi-task, prioritize and organize time effectively in a fast-paced and constantly changing environment
• Strong work ethic and demonstrated ability to achieve results and drive projects to completion; strong attention to detail
• Aptitude for remaining composed and confident under pressure
• Effective written and oral communication skills
• Strong computer skills and Microsoft Office Suite expertise
• Effective English language written and oral communication skills

In addition, to succeed within our unique culture and work environment, individuals must demonstrate humility, innate curiosity, and openness to new ideas and approaches. Candidates must be driven, confident, and goal-oriented. All Bridgewater employees are expected to be honest, exceptionally direct, and eager to provide and receive objective feedback. Our employees constantly strive for self-improvement through feedback and self-reflection and are committed to the pursuit of excellence.

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.

• 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

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

Job Overview

As a Senior Director, Account Development, you will sell into PitchBook’s largest customer accounts regionally alongside the dedicated Account Managers. Account Development Managers work to drive value that leads to upsells, expansion into other areas of an account and customer satisfaction. The Account Development Manager will be dedicated to finding additional opportunities regionally within current client accounts by establishing lasting relationships with key decision makers.

Team Overview

Customers are King! Each and every day the Customer Success Team works to ensure that our clients are maximizing the value they receive from PitchBook. Onboarding, training, support, business development and renewals are handled by the Customer Success team. Customer Success does whatever it takes to ensure our customers achieve their goals and continue to grow their engagement with the PitchBook platform.

Outline of Duties and Responsibilities

· Act as primary point of contact and business partner for a dedicated portfolio of PitchBook’s key regional clients via in-person meetings, phone and/or email.

· Identify growth opportunities regionally to expand existing user base within portfolio of accounts.

· Achieve sales and retention goals measured quarterly while providing excellent support to account managers and clients.

· Conduct client demonstration sessions designed to highlight how the PitchBook platform addresses the needs of the account and individual end users with a consultative approach.

· Work collaboratively with a designated Account Manager, Customer Success Managers and Customer Success Associates to strategize on regional account retention and growth opportunities.

· Go above and beyond to ensure customer satisfaction with quarterly business reviews and continual product education.

· Efficiently and thoroughly manage your pipeline and oversee the end to end sales cycle.

· Effectively prospect new accounts as needed, creatively leveraging various channels including events, Salesforce, LinkedIn Navigator and others.

· Use Salesforce to effectively manage client relationship through client interactions, account mapping, pipeline and task management.

· Drive engagement with prospective clients through personally crafted sequences and/or marketing provided materials via Highspot.

· Use Gong regularly to review client calls, provide product feedback and self-evaluate.

· Participate in monthly global account manager meetings to share learnings, success stories and to improve processes.

· Support the vision and values of the company through role modeling and encouraging desired behaviors.

· Participate in various company initiatives and projects as requested.

Experience, Skills and Qualifications

· Bachelor’s degree or equivalent experience.

· 5-7 years of sales or account management experience with enterprise accounts.

· Proven ability to close complex deals with high level executives and oversee the end to end sales process.

· Prior experience with Salesforce or similar CRM to forecast sales and maintain updated records of client. Interactions.

· Have excellent verbal and written communication skills with a keen eye for detail.

· Exemplary presentation skills; comfortable to engage a diverse array of clients.

· Knowledge of the MS Office suite including Outlook, Word and Excel.

· Interest in the PE / VC marketplace preferred.

· Curious, able and interested to learn about client needs.

· Organized with terrific prioritization skills.

· Self-motivated, persistent, goal-oriented attitude and can work effectively as part of a team.

· Possessing strong negotiation skills, persistence and resiliency.

Working Conditions

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

~ MW Global Pte Ltd: Hospital-at-Home since 2003 ~

We are looking for prospective and qualified individuals to join our dynamic operations team.

At MW Global Pte Ltd, you’ll have the opportunity to be at the forefront of premier home medical services as we continue to grow and evolve. We’re made up of passionate, creative and strong-minded folks that love to get things done in a fast paced environment. We value work-life balance and reward employees according to performance.

Job Responsibilities

• Performing prompt and quality nursing care to patients at their homes or in the clinic

• Preparing equipment and assisting physician in consultations and procedures, including but not limited to: urine catheterisation, NGT insertion/feeding, wound dressing, suctioning, oxygen therapy, phlebotomy, IV cannulation and drug administration, etc.

• Attending to patients’ overall needs

• Taking of vitals and charting

• Following up on patient care and treatment

• Readily develop rapport with patients, staff and physician

• Ad-hoc duties as assigned by supervisor

Job Requirements

• Singapore Nursing Board Registered Nurse with minimum 1 – 4 years of nursing experience

• Must have valid BCLS and AED certification

• Ability to perform cannulation and phlebotomy will be advantageous

• Preferably have A&E ward experience and/or agency nursing experience (private nurse)

• Willing to travel when being deployed

• Able to commit shift hours including weekends and public holidays

• 4 shifts per week (12-hour shifts including early/late shifts, overnight shifts depending on case load)

• Flexible shift arrangements may be discussed

• Part-time or contract positions available

We are seeking a skilled and motivated Quantitative Research Analyst to join our investment team. The ideal candidate will play a crucial role in developing and implementing innovative trading strategies and tools, utilizing advanced statistical techniques to optimize trading approaches. This role is perfect for someone passionate about quantitative analysis and looking to make a significant impact in the fast-paced world of equity trading. If you are eager to apply your analytical skills to real-world financial markets and work as part of a dynamic team, we would like to hear from you.

Key Responsibilities:

• Collaborate closely with the investment team to develop and implement trading strategies. Apply advanced statistical analysis to optimize these approaches.
• Conduct thorough analysis of large datasets containing historical and real-time equity market data. Identify key opportunities and trends to aid in strategic decision-making.
• Participate in all aspects of the strategy development process, including data analysis, hypothesis testing, back testing, and post-trade analysis.
• Effectively communicate research findings and deliver actionable insights through various formats such as reports and presentations, ensuring that complex data is accessible and understandable.

Requirements:

• A bachelor's degree or higher in a quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, or a related discipline.
• Prior experience in quantitative research or trading within equity markets is essential. Familiarity with factor models is HIGHLY advantageous.
• Proficiency in programming languages and tools such as Python, SQL, SAS, and C++.
• A solid grasp of equity markets and financial statements is preferred, enabling more effective analysis and strategy development.
• A keen interest in investment, strong learning ability, excellent teamwork skills, self-driven, and a strong sense of responsibility.

CORE JOB SCOPE

· Responsible for the planning and execution of routine/shutdown, preventive maintenance of the plant’s process instrumentation, control value, electrical power/distribution system equipment etc to achieve reliability target. Responsible for Energy saving initiatives

· Responsible for facilities management and supervising maintenance & facility team

· Supervise and ensure E & I works, installation and calibration activities are completed in accordance to the company’s guidelines and environmental, health and safety standards

· Ensure data collection and preparation of all reports for efficiency analysis and maintenance

· Maintain GMP & GDP for specification data sheets, drawings, spare parts, ISO and customer audits

· Provide leadership and guidance to overall management off the manufacturing site’s environment, health and safety compliance that are critical to well-being and protection of employees and contractors

· Responsible for the planning of maintenance & facilities budget

· Manage Site, Regional & Global Projects/Initiatives as assigned

· Any other duties as and when assigned by superior from time to time

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 Role：

Chief Executive Officer

Roles & Responsibilities

CEO of the company deals with high-level corporate strategy and major company decisions. Duties as below:

-Communicating, on behalf of the company, with shareholders, government entities, and the public.

-Leading the development of the company’s short- and long-term strategy.

-Creating and implementing the company or organization’s vision and mission.

-Evaluating the work of other executive leaders within the company.

-Maintaining awareness of the competitive market landscape, expansion opportunities, industry developments, etc.

-Ensuring that the company maintains high social responsibility wherever it does business.

-Assessing risks to the company and ensuring they are monitored and minimized.

-Setting strategic goals and making sure they are measurable and describable.

Requirements:

1. Degree of Business Studies or Economics and above.

2. At least 5 years working experience in banking or financing industry.

3. Strong leadership and communication 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 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

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.

Job Summary:

As a UFIT Staff Nurse, you will play a crucial role in delivering high-quality foot care services to patients in a private healthcare setting. Working closely with the podiatrists and other UFIT healthcare professionals, you will be responsible for assessing, treating, and educating patients on various podiatric conditions. Your compassionate care and attention to detail will contribute to the overall well-being of patients seeking specialized foot care services.

Key Responsibilities

Patient Assessment:

● Conduct thorough assessments of patients' foot conditions, including

medical history, symptoms, and physical examinations.

● Utilize diagnostic tools and equipment to identify and evaluate

podiatric issues.

Treatment and Procedures:

● Administer appropriate treatments under supervision of the

podiatrist for various foot conditions, such as wound care, nail care,

and biomechanical assessments.

● Assist in minor surgical procedures performed by the podiatrist.

● Provide patient education on self-care and preventive measures.

Documentation:

● Maintain accurate and detailed patient records, including assessment

findings, treatment plans, and progress notes.

● Ensure compliance with legal and regulatory standards in

documentation practices.

Collaboration:

● Work collaboratively with podiatrists, physicians, and other UFIT

Circle of Care professionals to support comprehensive care plans

where appropriate.

Equipment and Supplies:

● Manage and maintain podiatry equipment and supplies, ensuring

they are in good working order.

● Order and restock necessary supplies in consultation with the

healthcare facility's policies.

● Anaesthetic & medicine inventory management

Infection Control:

● Adhere to strict infection control protocols to prevent the spread of

infections in the podiatric care setting.

● Educate patients on proper foot hygiene and care practices.

Continuing Education:

● Stay informed about the latest developments and advancements in

podiatric nursing through continuous education and training.

Administration:

● Register patients

● Manage the front desk and handle patient's enquiries

● Handle phone enquiries

● Billing

● Administrative Duties

● Insurance claim submissions

Qualifications:

● Fully registered with Singapore Nursing Board

● AED and CPR qualified

● Previous experience in podiatry nursing or a related field is

advantageous.

● Strong interpersonal and communication skills.

● Compassionate and patient-centered approach to care.

● Ability to work independently and collaboratively within a healthcare

team.

Remuneration Structure:

$3,000-$4,000 Monthly

Working Conditions:

● Location: CBD ( Club St)

● Working Hours: 5.5 Days (Mon- Fri 8.30am-5.30pm; Sat 8.30am-1pm)

Reports to : Head of Podiatry

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.