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significant role in learning in AI by enabling cognitive agents to acquire actively knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and
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Description of the offer : The Applied Spintronics Group, University of Gothenburg, Sweden, led by Prof. Johan Åkerman, focuses on magnetodynamic phenomena, spin and orbital torques, nanofabrication
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Science is part of the Faculty of Health and Life Sciences. The research activities within this multidisciplinary department include the areas of aquatic ecology, cell and organism biology, evolutionary
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). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
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of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
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at Karlstad University: the research group River Ecology and Management (RivEM) and the growing group of researchers in evolutionary biology. You will work closely with your principal supervisor, Viktor Nilsson
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We are looking for a highly motivated postdoctoral fellow will join the lab of Assoc. Prof. Davide Angeletti (www.angelettilab.com ) at the Department of Microbiology and Immunology
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. There is a standard pathway in the faculty for promotion to Docent (roughly associate prof.) and Professor through demonstrating excellence in teaching and research. Applicants for a position will be ranked
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experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB. Very good knowledge of English, spoken and
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application and travel costs. For further information, please contact Prof. Dr. Helge Arz, (head of Marine Geosciences, helge.arz@io-warnemuende.de ) or find out more at www.io-warnemuende.de