12 phd-position-for-research-in-computer-vision PhD positions at Chalmers University of Technology
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research
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student, you will be supported by a multidisciplinary team with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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universities, Guest lectures and networking opportunities with academia and industry, A strong, cross-disciplinary PhD student network. WASP is Sweden’s largest individual research program ever, a major national
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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commitment to rigorous, open, and impactful science. The project is part of the WISE and WASP initiatives, which aim to position Sweden at the forefront of materials science and AI research. The PhD student
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil