112 parallel-computing-numerical-methods Fellowship positions at National University of Singapore
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/DAAR) Posting Start Date: 06/10/2025 Job Description: Job Description The Signature Research Programme in Emerging
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interdisciplinary team of social scientists, supported by a dedicated group of research assistants. Projects at GAI combine rigorous empirical methods with real-world relevance, offering opportunities to produce
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microscopy methods, quantitative bioimage analysis, and biophysical methods to probe the mechanisms that organize collective cell dynamics at the tissue scale. While the group has worked extensively with
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to critic, test-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics The Research Fellow will join a dynamic
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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imaging, head & neck imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS
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invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of
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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 highly motivated Postdoctoral Research Fellow in the Vascular Mechano-medicine
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Fellow/ Research Fellow ( for the Metabolic Liver Disease Lab in the Department of Medicine, Yong Loo Lin School of Medicine. This role explores functional genomic methods to understand better