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simulations, to establish structure–function relationships in advanced therapeutic delivery systems. There is opportunity to supervise master’s and/or PhD students to a certain extent. The position is based
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substantial challenges for the efficiency, durability and lifecycle cost of battery-supported charging systems. This project investigates advanced reconfigurable and AC-native battery architectures for high
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integrity, collaborate with others with multi-disciplinary backgrounds, support PhD students, have a professional approach and analyze and work with complex challenges. Preferred qualifications A doctoral
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, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
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opportunity to work at the interface between chemistry, biology, and electronics in the highly collaborative and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). Your work will primarily
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of master’s and co-supervise PhD students. There may be opportunities to engage in teaching at undergraduate and master’s level. Contract terms The position is a temporary full-time employment for two years
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between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University
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HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
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coordination of electric vehicle fleets to support resilient transport systems during emergency evacuations. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the
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department, with around 200 dedicated staff, including 65 Doctoral students . We are a joint department between Chalmers University of Technology and the University of Gothenburg, combining the best of two