Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

about the company
You will be joining a highly rated, international law firm with offices across the region and around the globe within its network.

about the job
You will be an experienced knowledge administrator that will be maintaining various internal knowledge databases including the maintenance of the firm's physical library. You will be keeping up to date with legal trends and developments and provide the necessary trainings for the utilisation of the firm's knowledge tools. You will also assist in the digitalisation and modernisation process of the firm's various platforms and databases.

about the manager/team
You will be the sole knowledge administrator answering to the global knowledge director and the localised country knowledge counsel.

skills and experience required
You must have had experiences in knowledge management within the professional services or legal industry. Prior experiences managing physical libraries and various vendors/suppliers would be advantageous. A tech savvy and proactive individual would be desirable.

To apply online please use the 'apply' function.
(EA: 94C3609/ R23115352)

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

We are recruiting for a leading real estate group with diversified real estate asset classes and their AUM stands at about circa. USD100b. With presence in more than 20 countries, they are operating at a global level with exciting plan for their next strategic growth.

You will play an instrumental role in shaping and executing the company's strategic direction while leading the research team. This role requires an analytical thinker with extensive experience in driving growth, innovation, and long-term business success, supported by in-depth market research.

You will be working very closely with the senior leadership and cross-functional teams to drive strategic priorities and provide data-driven insights:

1. Identify, plan, and oversee key strategic initiatives and partnerships to drive growth, innovation, and competitive positioning in line with the company's global real assets manager transformation.
2. Work closely with senior leadership and country leaders to set strategic priorities and ensure alignment across all departments and functions.
3. Lead cross-functional teams to develop and implement the global strategic plan, ensuring effective collaboration and coordination.
4. Manage the internal approval process for new projects, including business case development, risk assessment, and stakeholder alignment.
5. Present strategic recommendations and updates to the Senior Leadership and the Board of Directors and front the Board Strategy and Sustainability Committee.
6. Monitor industry trends and market dynamics to identify opportunities and challenges that may impact the company's strategic direction.
7. Creating sustainable positive impact and our thought leadership capabilities
8. Drive informed investment decisions and market insights within the real estate private equity and alternative assets business.
9. Conduct and present research and analysis on various private equity funds and capital markets, alternative asset classes, investment strategies, emerging technologies, industry development and market trends.
10. Provide regular reports and updates to senior management and investment teams to support decision-making processes, formulating asset and fund strategic plans, and disposition strategies.
11. Enhance research tools and process to analyze global and regional macroeconomic and real estate industry trends to formulate market house views and develop investment strategies for both new and traditional asset classes worldwide.
12. Partner relevant funds, investment or capital raising teams to provide research insights and inputs as part investment presentations and pitch materials for fundraising efforts.
13. Prepare and create a series of research topical papers for external publication
14. Cultivate and build relationships with stakeholders to leverage market intelligence and stay connected to industry advancements.

Requirements

• At least 15 years of experience in strategy development and execution, real estate research, market analysis, or related roles within the private equity, alternative assets, or real estate investment industry.
• Bachelor's degree in Business Administration, Economics, Finance, Real Estate, or related field. A master's degree or CFA designation is preferred.
• Strong analytical and solutioning skills, with the ability to think strategically and translate insights into actionable plans.
• Proven track records of driving business growth, developing innovative initiatives, and delivering sustainable results.
• Excellent leadership and team management skills, with the ability to influence and collaborate effectively across all levels of the organization.
• Adaptable to a fast-paced business environment with strong business acumen and financial literacy, with relevant experience in conducting market feasibility studies and financial analysis.
• Excellent presentation and communication skills, with the ability to articulate complex ideas and concepts to senior leadership and stakeholders.
• Proficiency in relevant software and tools such as Microsoft Office, financial modeling software, and databases.

All applications will be treated in the strictest confidence. Personal data provided will be used for recruitment purposes only.

Please apply with your CV in word document format. We regret to inform that only shortlisted candidates will be notified. For other positions related to real estate, please go to https://careers.tri-cap.com.sg/.

EA Licence: 24S2282

​EA Personnel: R1109270

Key Responsibilities:

• Develop and evaluate advanced materials for energy applications, including fusion, fission, hydrogen technologies, or other extreme environment systems.
• Conduct research on materials for harsh and extreme environments to improve performance and reliability in energy systems.
• Assist project and group leaders in preparing research proposals and achieving OKR (Objectives and Key Results).
• Publish high-quality scientific papers and contribute to intellectual property development.
• Collaborate with interdisciplinary teams on energy-related projects.

Job Requirements:

• PhD in Metallurgy, Materials Engineering, Mechanical Engineering, or related fields
• Strong publication record and/or relevant industry experience.
• Proven expertise in materials development for energy-related research such as fusion, fission, hydrogen, or other advanced energy systems.
• Experience with materials characterization techniques and performance evaluation in extreme environments.
• Solid understanding of metallurgy, material degradation mechanisms, and structural integrity analysis.
• Ability to work independently with a proactive and results-oriented mindset.
• Strong problem-solving abilities and effective teamwork 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.

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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

Staff Nurse

• Salary range : $2500 - $4,000
• Location : Buangkok
• Working Days: 4 days / week
• Monday - Sunday 8am to 7pm

Requirements

• Candidate must possess at least a diploma / degree / professional degree in Nursing
• Candidate must be a State Registered Nurse with valid certificate by the Singapore Nursing Board (SNB)

Responsibilities

• Carry out preventive and curative medical services under the guidance of the doctor and head nurse
• Oversee the general health of the residents: participate in and supervise medical and nursing care routine
• Supervise and assess the performance of nursing aides and health attendants
• Assist and carry out emergency situations in the Home
• The Staff Nurse will report to the Head Nursing and Therapy

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

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 Assoc Prof Cai Zhenning on Numerical Simulation of Open Quantum Systems under a project on "Long-time Simulation of Open Quantum Systems for Spin Chains and Non-Relativistic Particles".

The main responsibilities of the position include:

1. Develop algorithms and write scientific papers for the research project.
2. Attend regular group meetings and present his research work.
3. Collaborate with other colleagues and students in the research group.

Qualifications / Discipline:

• PhD degree in Applied/Computational Mathematics

Skills:

• C/C++ and MATLAB programming languages, knowledge in partial differential equations and quantum mechanics.

Experience:

• At least two years of research experience in scientific computing

Job Purpose

The School Nurse provides medical care for students throughout the school day, and oversees school wellness programs.

Start date: immediate

Job Duties and Responsibilities

Provide Nursing Care Services

• Dispense prescription medications to students as per parents or doctors’ instructions / medical directives.
• Provide basic first aid for minor injuries such as cuts, scrapes and bruises, and stabilising severely ill or injured students until parents, guardians or emergency services arrive;
• Ensure a clear and smooth communication with the families and the team members.
• Complete relevant nursing documentation.
• Maintain and restock First Aid Kits

Manage School Wellness Program

• Educate students on hygiene and safety practices.
• Collect and analyse statistics using our record.
• Organise meetings with the School Principal to follow-up on healthcare needs.
• Participate and moderate educational team meetings to better assist special needs children, and liaise with the Special Needs support team of practitioners.
• Participate in the organisation of protocols to deal with major emergencies occurring in the school.
• Communicate with the canteen service to come up with balanced, healthy meals adapted to the children and follow-up weekly.
• Conduct student hearing and vision screenings.
• Verify vaccination records.

Daily Routine Duties

• Communicate and coordinate with the school cleaners and classroom assistants to ensure that they are adequately equipped and informed on hygiene and safety practices.
• Record student absences, communicate with families in case of a child’s absence, finding out the reasons, thus getting a better visibility of the potential diseases in the school.

If while carrying out the duties of the role, the job holder identifies any instance that a child is suffering or likely to suffer significant harm either at school or at home, s/he must report any concerns to the School Principal so that a referral can be made accordingly to the relevant third-party services.

Job Competencies

• Standard clinical skills to dispense medications and treat minor ailments and injuries
• Adequate math skills to ensure proper dosage amounts when dispensing medications
• Good communication skills to work with students and parents
• Ability to demonstrate a calm, caring demeanour when working with children
• Good presentation skills for training school staff
• Ability to remain focused in the event of a student medical emergency.

Job Key Relationships

• Line managed by School Principal
• Liaise with School Principal, pedagogical team, and other support team members
• Liaise with parents, guardians, and other external parties like Special Needs healthcare practitioners, ambulance paramedics, enrichment activities providers etc.

Required Qualifications and Desired Attributes

• Must have completed a minimum of 1,000 hours of clinical experience or three years of academic experience.
• A minimum of 2 years of experience as a school nurse is preferred; experience with young children will be considered a plus.
• Fluency in English, bilingual in French and English is preferred, but not a must.

Desired attributes:

• Kind, benevolent, and reassuring, able to listen to the children’s needs and attend to their well-being.
• Results-driven and resourceful, with a strong affinity for critical thinking, hands-on execution, and problem-solving
• Self-directed and able to work without supervision
• Excellent team-player
• Dynamic and proactive
• Diligence

Working Conditions

Workplace

• Most time on La Petite Ecole campus site, when needed or required, off site on school functions, excursions, meetings, events, and professional development.

Work Time

• Monday to Thursday: from 8am until 5pm
• Friday: from 8am until 4pm
• Attending the team meetings in the week prior to back-to-school day.

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

SingVet has expanded with a new branch at Beauty World. We are seeking dynamic individuals who align with our progressive, inclusive, and supportive culture for Beauty World.

Our clinic offers a range of services including consultations, surgeries (including orthopaedics), and hospitalization. We are closed on public holidays. Our facilities are equipped with advanced technology such as digital radiography with fluoroscopic capabilities, an esotate ultrasound machine, an in-house IDEXX suite (Hematology, biochemistry, SNAP tests), tonometry, PETMAP blood pressure machines, and a well-equipped surgery room.

Ideal candidates should have a genuine passion for animal care and be able to thrive in a fast-paced environment. We provide comprehensive training and mentorship for junior nurses. While prior experience is beneficial, it is not required. A minimum diploma holder required.

Apply now to be part of our growing team and contribute to our commitment to exceptional animal care!

Email CV to [email protected]

Only successful candidates will be notified.

Responsibilities

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

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

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

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

Responsibilities

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

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

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

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

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

Minimum Qualifications

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

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

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

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

About TikTok

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

Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

Our mission in the experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decisions for the products. The supported scenarios include recommendations, push, ads, search, mobile app, UI interaction and service upgrades etc.

Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, and statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.

Responsibilities

• Analytics: Work independently to define, design, prototype, and implement complex exploratory analysis, w.r.t both theoretical and business perspectives.
• Methodology development: Leverage deep statistical expertise to improve and/or create methodologies
• Teamwork: Participate actively and thoughtfully in multidisciplinary teams to implement algorithms in production
• Communication: Effectively communicate insights and recommendations to support decisions on future research directions
• Mentorship: Oversee the analyses of junior statisticians and data scientists, and support their professional development

Minimum Qualification

• M.S. or Ph.D. in Statistics, Econometrics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• Passion for solving unstructured and non-standard mathematical problems
• Expertise in experimental design and/or Bayesian inference & optimization
• Fluency with SQL or similar
• Proficiency with Python, or other interpreted programming language like R or Matlab

Preferred Qualification

• 2 years experience with Bayesian experiment/optimization system design
• Experience with quasi-experimental causal inference (Rubin causal model/ structural causal model/ instrumental variables etc.)
• In-depth understanding and hands-on experience in wielding tools like graphs.
• 2 years experience with applying modern machine learning techniques and/or collaborating with ML scientists
• Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience
• Comfortable with massive paper searching, reading and composing.

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

Why Join Us

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

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

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

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

Join us.

About The Team:

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

The main job directions include:

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

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

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

Qualifications

Minimum Qualification

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

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

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

Preferred Qualifications

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

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

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

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 Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories 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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

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

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential) - Demonstrated experience in using a range qualitative research methods (essential)
  - Track record of publishing in international peer-reviewed journals (desirable)
  - Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply
  

Skills

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

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

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• Open to fixed term contract

• Observe and evaluate patient care for quality and continuous improvement.
• Perform comprehensive patient assessments to inform care strategies.
• Manage inventory levels of drugs, consumables, and medical equipment to ensure operational readiness.
• Efficiently manage patient schedules, appointments, procedures, and queries while developing and overseeing individualized care plans tailored to specific patient requirements.

Requirements:

• SNB Registered
• Diploma in Nursing or equivalent.
• At least 2 years of experience in Clinics or Hospitals.

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

Location: Singapore
Department: Research & Development (R&D)
Reports to: Chief Executive Officer (CEO)
Employment Type: Full-Time

KEY Responsibilities:

1. Research & Innovation:

• Lead research initiatives focused on underwater robotics, including navigation, machine learning algorithms, and sensor integration.
• Drive innovation to enhance the performance, autonomy, and efficiency of Roverclean and future robotic products.
• Stay ahead of industry trends, emerging technologies, and advancements in underwater robotics.

2. Product Development:

• Oversee the development and improvement of Alicia Bots’ underwater robotic systems.
• Collaborate with cross-functional teams, including software, mechanical, and electrical engineers, to ensure seamless integration of robotics solutions.
• Evaluate technical feasibility and scalability of proposed robotic solutions.

3. Team Leadership:

• Build, mentor, and lead a high-performing team of robotics engineers and researchers.
• Foster a collaborative and innovative work environment.
• Provide technical guidance and ensure team alignment with company goals.

4. Strategic Planning:

• Develop and execute a long-term R&D strategy for underwater robotics in alignment with company objectives.
• Define research priorities, set milestones, and monitor project timelines and deliverables.

5. Collaboration & Partnerships:

• Build strategic partnerships with academic institutions, research labs, and technology partners.
• Represent the company at industry conferences, workshops, and technical forums.

6. Technical Documentation:

• Ensure accurate and thorough technical documentation for all research projects and product developments.
• Prepare technical papers, reports, and patents where applicable.

Qualifications & Experience:

Education:

• Bachelor's or Master’s in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or a related field with a focus on underwater systems or marine technology.

Experience:

• Minimum 5-10 years of experience in underwater robotics research or robotics product development.
• Proven track record of leading R&D teams and delivering successful robotic systems or projects.
• Experience with underwater navigation systems, sonar technologies, and AI/ML integration in robotic systems.
• Previous experience in the maritime, offshore, or defense industries is preferred.

Technical Skills:

• Proficiency in robotics control systems, underwater communication systems, and sensor technologies.
• Strong programming skills in languages like C++, Python, or ROS (Robot Operating System).

Soft Skills:

• Strong leadership and mentoring abilities.
• Excellent problem-solving and analytical thinking skills.
• Effective communication and interpersonal skills.
• Ability to work collaboratively across departments and international teams.

What We Offer:

• Competitive salary and performance-based incentives.
• A dynamic and innovative work environment.
• Opportunities for professional growth and technical leadership.

Exposure to cutting-edge maritime technologies and global industry leaders.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.

• Observe and evaluate patient care for quality and continuous improvement.
• Perform comprehensive patient assessments to inform care strategies.
• Manage inventory levels of drugs, consumables, and medical equipment to ensure operational readiness.
• Efficiently manage patient schedules, appointments, procedures, and queries while developing and overseeing individualized care plans tailored to specific patient requirements.

Requirements:

• SNB Registered
• Diploma in Nursing or equivalent.
• At least 2 years of experience in Clinics or Hospitals.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

The Institute for Functional Intelligent Materials (I-FIM) is looking for postdoctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics.

The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g., Jax, PyTorch
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in applied sciences.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous

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

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research associate for polymeric biomaterials.

As a research associate in AM.NUS, you will be working on projects on the following areas:

• Synthesize new polymeric biomaterials for advanced bioinks.
• Undertake internal capability development projects and collaborative projects with researchers and industrial partners.
• Produce scientific research papers and grant proposals, and present in seminars, workshops, and conferences.
• Explore collaborations with researchers and industrial partners.
• Assist laboratory safety and procurement whenever necessary.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore (NUS)’s world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS will explore a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalized patient treatments.
AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) center in an Institute of Higher Learning in Singapore which comprises the following Faculties (Medicine, Science, Dentistry and Design & Engineering). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC).

Qualifications

• Master in Materials Science and Engineering/ Biomedical Engineering/Chemical Engineering/ Pharmacy or related field.
• Experience in polymer synthesis and characterization.
• Experience in cell culture techniques.
• Familiarity with 3D printing is an advantage.
• Proficiency in written and spoken English.