368 computer-programmer-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in Singapore
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, internationally connected research programme spanning Bayesian infectious disease modelling, AI-driven epidemic forecasting, genomic epidemiology, and pandemic preparedness. The postholder will work with Asst. Prof
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Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB). The selected Research Fellow will work
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known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country. We are seeking a Research Fellow to be in charge of
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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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. The project is part of a larger interdisciplinary research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence retirement decision-making among
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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. Requirements: PhD in a relevant discipline, such as child development, developmental
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infrastructure systems under uncertainty. We are seeking a Research Fellow to develop advanced computational methods for the reliability and robustness assessment of structural and infrastructure systems. The role
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local