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Field
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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at a leading German university? If so, we invite you to apply! The newly established Collaborative Research Center CRC 1772 "mol2Dmat" investigates novel collective states and quantum phenomena in
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, interdisciplinary teams, value diversity of thought, and enjoy the freedom to explore novel ideas. You communicate fluently in English, both orally and in writing. We Offer: Access to an international network
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international teams, and value creative approaches to research. You communicate fluently in English, both in writing and orally. We Offer: Access to an international network of scientists, policymakers, and
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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
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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Collection, cleaning, and handling of various datasets for research purposes Performing statistical analysis, e.g., in Stata, R, Python, or similar programming languages Basic standard coding of survey
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming