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AI training has emerged as the standard approach, which utilizes thousands of high-performance devices within a data center to collaboratively process tasks. When they are even more complex, the
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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
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the Swedish Center for Sustainable Hydropower (SVC). SVC promotes collaborative research across universities and industry to support the future of hydropower. Simulations will be performed using resources from
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decision support systems, validated against field measurements. The doctoral studies will be performed at the Department of Forest Ecology and Management at SLU in Umeå. The PhD student will have a permanent
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samples from ca 10 individuals of each sex common garden populations of these, and are now extracting these samples. The researcher will work in a collaborative lab performing analyses of gene expression
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position for candidates interested in interpretable AI, stochastic optimal control, deep learning and high-impact research in sustainable mobility. About us The position is located at the Systems and Control
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As a PhD student you will perform research with substantial theoretical and experimental components that should be published in peer-reviewed major international journals and at major conferences
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As a PhD student you will perform research with substantial theoretical and experimental components that should be published in peer-reviewed major international journals and at major conferences