48 assistant-professor-computer-science-and-data-"Prof" positions at Linköping University in Sweden
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qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on computational photography. CVL is a
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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The Laboratory of Organic Electronics (LOE ) at Linköping University is recruiting this tenure-track Assistant Professor with a generous starting package through the Wallenberg Initiative Materials
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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application! We are seeking up to two advanced-level students in computer science, computer engineering or closely related area as research project assistants (programming, system administration). The position
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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construction, logistics strategies, urban development projects, third-party logistics, and sustainability aspects. As a senior associate professor in construction engineering, you will also teach at both
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construction, logistics strategies, urban development projects, third-party logistics, and sustainability aspects. As an associate professor in construction engineering, you will also teach at both undergraduate
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application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes