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at the Division of Systems and Control, Department of Electrical Engineering at Chalmers University of Technology. Project description Lithium-ion batteries are critical for electrified transportation and smart
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Laboratory is addressing thermal management and advanced packaging, mainly by manipulating nanomaterials and compositions to reach maximum thermal, electrical or mechanical performance. The group has a long
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-based prediction and design of new, low-dimensional magnetoelectric materials. Low-dimensional materials are highly desirable for efficient device integration, and the intrinsic coupling between electric
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these materials at the end of their life is a growing challenge. Current recycling methods often damage the fibres, use a lot of energy, or have negative environmental effects. This project aims
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and professors. Qualifications To qualify for this position you must have: - a PhD degree (or equivalent) in Applied Physics, Engineering Physics, Electrical Engineering or similar, awarded no more than
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analysis related to sampling, optimisation and learning problems in high dimensions. Examples of current research topics include convergence analysis of Markov processes, efficient Monte Carlo methods, large
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to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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(Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or equivalent), obtained no more than three years prior to the application deadline (according to the current agreement with