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The University of Marburg, founded in 1527, offers a variety of excellent programs of study for around 22,000 students and confronts the important topics of our time through excellent research
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environmental sciences, physics or related disciplines with experience in programming languages (e.g., Fortran, R) in Linux environments; demonstrated experience in communicating scientific results in high
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc on
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facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family life Further training opportunities and free in-house language courses
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Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
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Excellent communication skills in English (written and spoken), as it is the working language in the institute. The appointment of PhD candidate will be for 3 years (aligned with MPI Sus-Mat’s doctoral
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candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
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2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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on approval by the funding agency. The position is initially funded until 31.03.2027, but an extension is envisaged. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge