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Study of mathematics, computer science, geoinformatics, physics, electrical engineering, or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as
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approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
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in Bioinformatics, Computational Biology, Biostatistics, Data Sciences or related discipline. Alternatively, PhD in Molecular Biology, Immunology, Biomedicine or related discipline with extensive
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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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and Master’s students in Informatics and Data Science. Supervise Bachelor’s and Master’s theses. We Offer Practice-oriented research projects with leading academic and industry partners (like Google
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Kohlenforschung, Mülheim/Ruhr Ruhr-Universität Bochum Universität Duisburg-Essen Teaching language English Languages The doctoral programme is conducted entirely in English. Full-time / part-time full-time
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or very good university degree (diploma, master's degree) in transport or related study programs (e.g., civil engineering, industrial engineering, computer science, etc) with a solid foundation in transport
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
single PDF file to: ausschreibung10-25@mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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interdisciplinary program, HEIBRiDS trains young scientists in Data Science applications within a broad range of natural science domains, spanning from Earth & Environment, Astronomy, Space & Planetary Research