39 postdoc-position-semantic-web PhD positions at Chalmers University of Technology in Sweden
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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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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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laboratory work and data analysis? Then this position may be right for you. While the focus will be on your research and personal development as a researcher, the position also provides opportunities
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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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Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
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nationally and internationally (e.g. Nordic Five Tech and ALERT Geomaterials) Contract terms The position is a four-year appointment, with the possibility of extension up to five years through teaching
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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approximately 300 employees from over 30 countries. The department is a fully integrated department with Chalmers University of Technology and University of Gothenburg as principals. The position is placed in
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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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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