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programming skills with python Comprehensive knowledge of data science, data analysis, data management as well as machine learning Experience with data-driven machine learning (SINDY, LASSO, SISSO packages
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research
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of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Knowledge of oral history of the Holocaust For further information, please contact Dr
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
to investigate effects of the collector test on longer time scales. In addition to scientific publications, results will also contribute to project efforts to provide input to knowledge-based regulation
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of biochemistry, cell and structural biology, and biomedical research. With approximately 30 scientific departments and research groups and about 750 employees, the MPIB is one of the largest institutes of the Max
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: Heidelberg Institute of Global Health Location: Heidelberg Start date: as soon as possible Job Category: Science and teaching Working hours: full-/ part-time Published: 15.08.2025 Limitation:Temporary (limited
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: Heidelberg Institute of Global Health Location: Heidelberg Start date: at the earliest possible date Job Category: Science and teaching Working hours: full-time Published: 15.08.2025 Limitation:Temporary
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the Gilsbach lab . Job-ID: V000014326 Field of application: Institut für Experimentelle Kardiologie Location: Heidelberg Job Category: Science and teaching Working hours: full-time Published: 04.07.2025
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basic research with science transfer to the public, the media and policymakers. Since 2009, the PRIF has been a member of the Leibniz Association, a national umbrella organization of outstanding non
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred