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Computational Fluid Dynamics (CFD), fluid mechanics, and Artificial Intelligence (AI), with a particular focus on developing deep reinforcement learning methods for active flow control of hydraulic
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methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala
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specialising in health informatics Location: Kalmar. Term and hours: The doctoral studentship is limited in time in accordance with the Higher Education Ordinance (Chapter 5, Section 7). The studentship is full
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires
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The Department of Ecology, Environment and Plant Sciences (DEEP) conducts research and offers education at the Arrhenius Laboratories on the Frescati campus. We are approximately 100 staff members
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The Department of Ecology, Environment and Plant Sciences (DEEP) conducts research and offers education at the Arrhenius Laboratories on the Frescati campus. We are approximately 100 staff members
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independent researcher prepared for a future career in academia, biotechnology, or data-driven precision medicine. As a PhD student, you devote most of your time to doctoral studies and the research
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solid experience in machine learning (including deep learning), ideally in the context of computer vision and, more broadly, a proven track record in scientific programming (GitHub Repository or
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obstacle to long-term cure. Resistance can be primary, where cells are insensitive to treatment from the time of diagnosis, or acquired, where resistant cell clones are selected during treatment. The
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climate. MISU strives toward a broad representation of research within our scientific domain. We study questions originating from the deep ocean to the upper atmosphere and from the tropics to the poles