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understanding: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions
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, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https://www.chalmers.se/en/departments/me/research/product-development/geometry-assurance-robust-design
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and
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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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we collaborate with universities and institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL
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the opportunity for three weeks of training in higher education teaching and learning. The job also includes opportunities for teaching on basic and advanced level. participation in supervision of master and PhD
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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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proven experience, an area that has been strengthened by the national initiative ULF (Development, Learning, Research). Learn more here: https://www.umu.se/en/department-of-creative-studies/research
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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