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with ethical standards. Collaborate with clinicians and behavioral scientists to translate computational models into actionable healthcare solutions. Publish high-impact research, contribute to grant
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-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as: Execute econometric and other statistical analyses
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supervise and train students and junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity to explore his/her own interests across functions
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to maintain high academic standards and drive continuous improvements in programme structure and delivery. This role also involves liaising with faculty, university departments, and external academic
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, and Data Science. This engagement will drive interdisciplinary, innovative, and future-ready program offerings. The role also involves mentoring academic staff, nurturing a strong research culture, and
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the procurement team, fostering a culture of collaboration and high performance. Building and maintaining strong relationships with internal stakeholders. Identifying and nurturing talent within the procurement
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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, or deployment at scale. A proven track record of high-quality research contributions published in top-tier machine learning conferences or journals. Proficiency in high-performance computing, distributed and
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research programme funded by the National Research Foundation (NRF) and the Singapore Food Agency (SFA), and administered by the Singapore-HUJ Alliance for Research and Enterprise (SHARE) This collaborative
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Researcher (R1) Application Deadline 1 Apr 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU