520 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " PhD positions in Germany
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at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
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profound knowledge in key areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half-year modules
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Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
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, including experiments at the local tandem accelerator facility as well as at national and international research infrastructures (https://ikp.uni-koeln.de/groups/wimmer/join-us ). YOUR TASKS » Participation
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. Faculties Humanities Social Sciences, Economics, and Business Administration Human Sciences and Education Information Systems and Applied Computer Sciences Financial support Yes Structured research and
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, students gain profound knowledge in key areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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see this link for details: https://www.tum.de/en/studies/fees . Costs of living In order to cover personal expenses while studying in Munich, we recommend a budget of at least 1,000 EUR per month
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information here: https://www.uni-muenster.de/studieninteressierte/en/einschreibung/semesterbeitrag.shtml . Costs of living We recommend that students budget at least 1,000 EUR per month to meet personal
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion