41 fully-funded-phd-program-computer-science "Computer Vision Center" Postdoctoral positions at EPFL
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be developing new methods for remote sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong
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requested to apply to a specific EPFL Doctoral Program to qualify for a PhD at EPFL. Please check this page for additional information on admission. Potential doctoral programs for this position: EDMX
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learned control policies and neural representations of movement in collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied
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drug-discovery and biomedical sciences. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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towards impact in early drug discovery through public and Novartis-internal datasets. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a
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candidates with A PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in
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. Candidate profile Applicants should have a PhD in biomedical engineering, electrical engineering, computer science, data science, computational neuroscience, human movement science, psychophysiology
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-time Video Generation, digital double, human-like avatars. Profile PhD in Computer Vision Background in CS Research experience in gen AI, deep learning Strong computational and analytical skills, as
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D