129 computational-physics "https:" "https:" "https:" "https:" "Caltech" Fellowship positions at National University of Singapore
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are hiring two Research Fellows for a 2-year contract. This
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research programme funded by the National Research Foundation (NRF) and the Singapore Food Agency (SFA), and administered by the Singapore-HUJ Alliance for Research and Enterprise (SHARE) This collaborative
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the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing to the translation of research
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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, to Climate Change and all areas of ASEAN Law and Policy. Preference will be accorded to candidates aspiring to pursue an academic career, as the programme is specifically designed to support such aspirations
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investigate the genetic and molecular underpinnings of motor neuron degeneration. The successful candidate will be tasked with designing and managing a comprehensive research programme aimed at elucidating
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reporting and laboratory safety coordination. Key responsibilities Research execution (primary responsibility) Plan and conduct laboratory and/or computational experiments under the guidance of senior
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-scale multi-physics numerical simulations, e.g. simulation of thermal environment, urban greenery, airflow movement at the city, district and neighbourhood scales; • Coordinate, prepare and present
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timely climate information can strengthen community networks and encourage adaptive behaviors in a warming urban environment. Qualifications Key Responsibilities Conduct multi-scale multi-physics numerical
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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