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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed description of the work
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product kinetics by ion implantation of advanced nuclear fuel (Uranium Nitride). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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the Uppsala University application system VARBI: https://uu.varbi.com/en/what:login/type:job/jobID:915373 The Department of Physics and Astronomy at Uppsala University, Sweden has an opening for a two-year
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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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programme in Information and Communication Technology. The Communication systems | Chalmers employs around 45 people, including 9 faculty and 25 PhD students, and is active in a wide range of topics in
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: Onboarding and Integration, and Innovation and Creative Capacity. The work will focus on investigating how hybrid work arrangements influence learning, collaboration, innovation, and organizational performance
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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