3,168 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions
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. To assist with the development of research objectives and proposals. To conduct individual and collaborative research projects under the direction of the Principal Investigator or Grant-holder. To work with
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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research results in leading international conferences and journals in machine learning, computational biology, and AI for science The postdoc will work at the interface of machine learning, genomics, and
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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The Faculty of Humanities at the University of Helsinki invites applications for the position of POST-DOCTORAL RESEARCHER IN COMPUTER SCIENCE OR DIGITAL HUMANITIES SPECIALIZING IN AUDIOVISUAL DATA
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instance Hours: Full time (37.5 hours per week) About the role We are looking for a Postdoctoral Research Associate in Computational Biology to join the group of Dr Rebecca Berrens. This primarily dry-lab
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, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote
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dual-degree (in UK and US) programmes in the areas of Data Science, Data Science and Politics, Computer Science and Business, and Computer Science and Philosophy; four postgraduate programs in the areas
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Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied