184 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at National University of Singapore
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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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) to join our research team, focusing on the morphological characterization of biological samples. This role is part of our broader mechanobiology research program, which investigates how cells and tissues
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biological age. As part of the Healthy Longevity Translational Research Programme (HLTRP) within the NUS Yong Loo Lin School of Medicine, you will be at the heart of our mission to add healthy years to life by
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection
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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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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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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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for quantum-capable attackers and plan migration/interoperability strategies. Zero-knowledge proof systems • Design and analyze ZKP-based identity and authorization protocols (selective disclosure, anonymous
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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