118 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" Fellowship research jobs at National University of Singapore
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM
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: Research Staff Location_ONB: Outram Campus Posting Start Date: 06/10/2025 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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deliverables such as reports/journal articles, workshops and webinars. Qualifications Applicants should have at least or close to obtaining a PhD in the Social Sciences/Humanities, Computing or other relevant
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. This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation. The selected fellow
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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions
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Communicating with stakeholders to understand business challenges and potential solutions Qualifications Doctorate degree in a quantitative discipline (eg. data science, computer science, computational biology
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (LCPC/EA) Posting Start Date: 07/01/2026 Job Description: Job Description The Programme in Health Services and Systems Research
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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over