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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 1 hour ago
the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en
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Center of Mental Health, offering many collaborative possibilities https://www.dzpg.org/en . The MPI of Psychiatry is an international research institute with English as the working language. We
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/ postdoctoral posts Starting date: 11.09.2026 Contract time limit: 1790946936 Job description:Computational and Molecular Prevention This research center is part of the Helmholtz Association of German Research
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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programming in Python, C++, MATLAB, or comparable languages is preferable Experience with turbulent reacting flows, direct numerical simulation (DNS), Large-Eddy Simulation (LES), or combustion modeling is an
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a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Professorship (W3) „Modern German Literature I“ INSTITUTE OF LITERARY STUDIES
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competence and excellent communication skills Excellent proficiency in either German or English (C1), with good proficiency in the other language (B2) Further Information Prof. Dr. Norbert Koch +49 30
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Professorship (W3) Regional history of the German Southwest with a focus on the early
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software development, data modelling and web-based research data infrastructures. Experience with Python or comparable programming languages, relational databases, REST interfaces, Git-based software
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and