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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
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development for powder-based metal additive manufacturing (AM), covering the full value chain—from powder production and AM process development to post-processing and final components. Hosted by the Division
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electron microscopes) at both Chalmers and Lund. You will be part of the aerosol technology group, which works on both understanding and improving the field of spark ablation, as well as developing new types
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take part in research communication through co-authored articles in top-ranked academic journals and conferences, industry papers and exhibitions of architectural demonstrators and prototypes
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—critical capabilities enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and
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into the WISE programme will be a part of the WISE Research School Who we are looking for The following requirements are mandatory: To qualify as a PhD student, you must have a Master's degree (masterexamen) of
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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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, circular processes, and sustainable development. It involves both new production and the transformation of already existing buildings. As a PhD student in this Division, you will be part of an excellent
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg, Sweden. The student will form a part of a new NEST initiative