267 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "St" Fellowship positions in Singapore
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the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and
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from the Department of Civil and Environmental Engineering. This position is part of an exciting research program advancing separation technologies (i.e., membrane and electrochemical) to solve pressing
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hosted within established research labs at CSI Singapore to develop their independent research programs. They will receive a competitive base salary of up to SGD$93,000 per year (not including benefits
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. Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX.. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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to support interdisciplinary projects within the PANDA programme. We are seeking highly motivated colleagues with strong quantitative and analytical skills to contribute to the coordination of research
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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 analysis frameworks. Plan, supervise and perform (if necessary
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human behavior in cities. Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles
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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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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial