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seeking to fill a full-time (100%) vacancy in the Laboratory of Medical Microbiology for a Doctoral Grant in the area of Medical Microbiology under supervision of Prof. Sandra Van Puyvelde. This project is
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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collaborations. The research group The position is in Ben Murrell’s group in MTC, based in the Biomedicum, in Karolinska’s Solna campus. The lab has worked across the experimental/computational interdisciplinary
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of these limitations and to test it in a real building. The final objective is to provide thorough documentation of the scalable MPC workflow and test case. The supervision team is Prof. Laurent
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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document that you are particularly suitable for a PhD education You must meet the requirements for admission to the PhD programme in Medicine and Health Sciences Good oral and written presentation skills in
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relevant background within structural engineering, mechanical engineering, or computational engineering (or a closely related field). You must have a Master's degree in structural engineering, mechanical