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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
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an international research team and receive generous financial support for a research stay abroad during their doctorate. The project is led by Prof. Dr. Marcello Ienca (TU Munich) and Dr. Lily Frank (TU Eindhoven
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technologies for various applications including underwater acoustic communications. Prof. Rong (total citations 4744; h-index 37) has good track record in underwater acoustic communications. The supervisors
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necessity You have excellent computer science skills (python, git, linux, etc.) . You have strong analytical skills to interpret the obtained research results. You are a team player and have strong
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act with attention to quality, integrity, creativity and cooperation. You can show good modelling and/or programming skills (ideally in C++, Julia and/or Python). Affinity or experience with space and
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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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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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criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics