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application! Work assignments AIR2 is a five-year multidisciplinary national project financed by the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
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- 12:00 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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organizations. Facilitate co-creation workshops to help organizations identify and clarify AI use cases. Build and coordinate a network of trainers, experts and partner organizations. Collaborate with
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are not limited to, numerical methods of high order, Discontinuous Galerkin methods, path conservative discretisations, efficient time integration, and energy / entropy stable methods. Curvilinear mesh
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sources. Documented expertise concerning analysis software such as STATA, R, SPSS, Mplus or similar is crucial. Very good knowledge of English language, both verbal and written, as well as the ability
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systems (e.g., UAVs or robots), or High-availability networking infrastructures (e.g. 5G and beyond) will be considered as a plus. In this multi-disciplinary national project we seek candidates with strong
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research presentations. The exact research direction will be defined jointly with your supervisors. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you
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through publications and research presentations. The exact research direction will be defined jointly with your supervisors. As a PhD student, you devote most of your time to doctoral studies and the
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air