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of Pathology (https://www.pm.mh.tum.de/path ), and is affiliated with the TUM School of Computation, Information and Technology (CIT, https://www.cit.tum.de/ ), the TUM School of Medicine and Health (MH, https
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development, software design, parallel computing, model building, computational chemistry, biomolecular structures. Techniques: GPU computing, image segmentation, molecular dynamics, scanning probe microscopy
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intended as a steppingstone towards independence in academic research. Requirements for employment are a completed PhD in a relevant field (Computational Linguistics, Cognitive Science, Linguistics, Machine
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Computer Science with a mathematical emphasis, or in a related field, by the time of employment. Profound knowledge in data assimilation—particularly in particle filtering—as well as in data science, machine
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
skills of historical linguists, empowering them to make more informed inferences and pursue new lines of inquiry. Your qualifications A passion for science A PhD in Computer Science, Artificial
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with innovative battery technology What you bring to the table Master’s degree in electrochemistry or a comparable degree program PhD in electrochemistry with a strong background in applied
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is one of the leading centres for fusion research and is
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degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge of the structural characterization of matter primarily with neutron and X-ray scattering
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, Cognitive Science, Psychology, Bioinformatics, Medical Informatics, or related life sciences. Strong statistical training and experience, ideally already having worked with types of statistical longitudinal