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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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, into simulation models used for health systems management. The research will provide practical and methodological contributions. The framework will offer healthcare decision-makers better tools for designing
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English (e.g. paper, report, thesis) • Copy of Bachelor’s degree and overview of grades (e.g. ‘Transcript of Records’) • Copy of Master’s degree and overview of grades • Contact details of 2-3
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English (e.g. paper, report, thesis) • Copy of Bachelor’s degree and overview of grades (e.g. ‘Transcript of Records’) • Copy of Master’s degree and overview of grades • Contact details of 2-3
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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Your Job: You will work in the Electrocatalytic Interface Engineering department, which is headed by Prof. Dr.-Ing. Simon Thiele. The department focuses on the fabrication, analysis and simulation
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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. The student will be supervised by Prof James Goulding (Nottingham University Business School) and Prof Tracey Thornley (University of Nottingham), Dr Alex Elliot, Dr Nicola Love and Prof Charles Beck (UKHSA
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of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
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Assoc Prof Liton Kamruzzaman, Prof Hai Vu, Prof Graham Currie, Prof Eric Miller (University of Toronto), and Prof Roger Vickerman (University of Kent). Together, the team aims to: Define sustainable size