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& Computer Engineering, Computer Science, Information Technology, or a closely related field Strong interest in supporting high?quality research aligned with CMU Africa?s mission of driving digital
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of Chicago. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/. Job Summary The Research Professional will report to an BFI-affiliated faculty member at
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer
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improvements in testing methods. Conducts literature searches related to research project. Working Conditions: Works in a laboratory environment with potential exposure to biological and chemical hazards. Must
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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methods. - Master's degree or Bachelor's plus 2 years postbaccalaureate experience in neuroscience, biology, engineering or a related field. This position is subject to the University's background check
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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, discuss, and propose ideas for media projects. Estimate production requirements (including equipment, crew, location), provide cost estimates, and evaluate copyright, clearance and release requirements
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/certification? Required Computer Applications: Microsoft Excel, Microsoft Word Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: General 1. General business acumen to
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conduct innovative and internationally recognized research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical