12 electronics-engineering PhD positions at Chalmers University of Technology in Sweden
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that the application is complete. Incomplete applications and applications sent by email will not be considered. For questions, please contact: Evelina Wikner, Assistant Professor, Division of Electric Power Engineering
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at the Division of Transport, Energy and Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will join an interdisciplinary team with Ida-Maja Hassellöv, Lars
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polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
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of terahertz electronics. In this role, you will work closely with world-class research groups and industrial collaborators, benefiting from state-of-the-art facilities. Your research will push the boundaries
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environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work bridges
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will be joining an interdisciplinary team with Ida-Maja Hassellöv and external collaborators Amanda Nylund
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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. Research environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning