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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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of Prof. Dr. Frank Cichos. The position is part of NSF-DFG Mission collaborative project between Leipzig University, Princeton University and the University of Chicago on “Heterogeneous Nanoparticle
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. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied
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Description The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced X-ray and neutron scattering (m
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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-scale turbulent dynamics in multiphase environments such as the ocean surface. The project is part of the Collaborative Research Centre (CRC) “Energy transfers in atmosphere and ocean” funded by
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the ability to learn from experimental data and make meaningful predictions, taking AlphaFold and its highly accurate protein structure prediction as an example. However, the training of powerful AI tools