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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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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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half years to complete. Ideal candidate This PhD research opportunity would suit someone with a strong quantitative background (e.g. econometrics, statistics), and an interest in applying their skills
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mental health issues, using statistical techniques including network analysis. Naturally, we are seeking a student with a keen interest in the topic of loneliness and/or mental health. In addition
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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28.07.2023, Wissenschaftliches Personal Prof. Karen Alim’s group on Biological Physics and Morphogenesis at the TUM Campus Garching uses theoretical and experimental methods to investigate how flow
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems