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operational employment. This doctoral research will thus leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modelling systems as graphs
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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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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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compartmental models for RSV developed within the STAMP-RSV program by tailoring an established software library for individual simulation to the Australian RSV transmission context. Information to parameterise
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Structures group (Prof. Wim Van Paepegem) from the same department.Only candidates with a Master degree should apply. The candidate should have a strong interest in experimental and computational mechanics
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significant research program funded by the Australian Research Council Discovery Project titled “Discovering the sustainable size of cities”. This interdisciplinary project investigates how high-speed rail (HSR
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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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
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-chemical-physics/ ) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD candidate to perform molecular dynamics simulations of different genetic