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the German Research Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke, Dr. Marlen Fröhlich (both Tübingen) and Prof. Dr. Manuel Bohn
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. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Applicants should contact Prof Amanda Prorok for further information. http
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information about the research group, publications, projects, and Prof. Shah, please visit: https://faculty.sites.uci.edu/pratikshahlab/ ; https://www.pratiks.info/ The candidate will contribute to two key
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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well as new projects. The position may additionally involve implementing data analytics, including machine learning. The successful candidate will have a Ph.D. or equivalent degree in Bioengineering
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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note of the data protection no-tices of TUM. Technical University of Munich Institute of Turbomachinery and Flight Propulsion, Prof. Dr.-Ing. Volker Gümmer Secretarial Office, Frau Delphine Hase
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experimental research • Ability to approach work in an analytical, imaginative and structured way, and to work independently in research projects • Good team player and inclination towards acting in networks