389 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "UNIV" Fellowship positions in Singapore
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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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(or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields. • Experience in research for structural optimization is desirable. • Strong computational analysis skills
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required to substantially advance a research programme focused on next-generation optical imaging and sensing technologies, aimed at pushing the boundaries of performance and enabling new capabilities
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Postdoctoral Fellow to work on research in the areas of demographic aging and mortality, with an active focus on Singapore and Asia. The project is part of a larger interdisciplinary research program aimed
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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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of motor neuron degeneration. The successful candidate will be tasked with designing and managing a comprehensive research programme aimed at elucidating the mechanisms contributing to sporadic ALS
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psychology, cognitive science, human-computer interaction, communication science, or a related field. Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences