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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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, and spatial genomics. Supervision by leading scientists: Prof. Sven Nelander, expert in systems biology and tumor modeling (Uppsala University; main supervisor) Prof. Rebecka Jörnsten, professor in
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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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networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
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). The successful candidate will work in Maximilian Larena’s research group, and co-supervised by Prof. Mattias Jakobsson and Prof. Carina Schlebusch. The research program consists of an international team
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal