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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 18 hours ago
publishing or teaching and applying for postdoc positions Students who attend our programme investigate the crucial intersection between the economy, politics, and society and develop new approaches in
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 8 days ago
to create living cells? Combining traditional methods, from structural to synthetic biology, with novel computational approaches, chemists, physicists, and molecular biologists at the IMPRS-LM aim to dissect
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Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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programme is integrated in and supported by a network of PhD students, postdocs, and supervisors with various scientific backgrounds. PDF Download Certificates for specific modules are awarded Yes
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language. Programme duration 6 semesters Beginning Winter and summer semester Application deadline Varies, please check our website Tuition fees per semester in EUR None Combined Master's degree / PhD
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for dynamical systems, causality, and ML for science more broadly. We publish at core ML venues and are also interested in collaborating on applications in biomedicine, climate, or physics. Find out more at
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: Business and Economics Psychology Mathematics and Computer Science Physics Chemistry Pharmacy Biology Geography Medicine Humanities and Social Sciences: Law Business and Economics Social Sciences and
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 18 hours ago
, Finance, and Management. You will develop strong analytical skills, publish in top journals, and join a global academic network. This fully-funded programme includes advanced courses, close faculty support
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent