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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (1 ) Computer, Information, and Data Sciences (3 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (3 ) Life Health and
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simulations, including AI-based methods. The project associated with this position aims to take advantage of a virtual library of more than 1 million organometallic bifunctional catalysts, optimised
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computation Strong background in computer programming Strong background in relevant mathematical modelling Experience with interdisciplinary work A keen interest in natural history, nature conservation, science
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under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation, computer or numerical simulation, literature reviews
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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions
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Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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Interior - RBIUBI (Regulation No. 100/2020) published in the Diário da República, 2nd series, n.º 27 February 2020. Work location: The work will be developed at the SEGAL, Department of Computer Sciences