121 postdoc-parallel-computing Fellowship research jobs at National University of Singapore in Singapore
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, taking ownership of thematic areas and leading components of the research program, including cross-university collaborations. Engage in policy translation, offering technical consultation to external
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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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. robotics, computer science, electrical/electronic engineering, etc. • Extensive experience in robotic motion planning and control, especially in obstacle avoidance and contact-aware task execution with
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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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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We are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and
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are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and the
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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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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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equivalent) in Geospatial Sciences, Computer Sciences, Architecture and Urban Planning, Environmental Sciences, Geography, Landscape Ecology, or any other related field. • Strong research background in