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data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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costs will be deducted in accordance with the applicable national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks ( https
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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national regulations. Please find additional information in the Information package for Marie Curie fellows in doctoral networks ( https://op.europa.eu/s/z831 ). Selection Procedure: For the selection
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E-Mail to bewerbung at dpz.eu . Applications arriving until January 4th, 2026, are considered for this position. For more information about the DPZ, please visit http://www.dpz.eu or call 0551
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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laboratory is required Knowledge of handling radioactive materials and radiochemical methods is an advantage Excellent knowledge of a broad range of microbiological, chemical and analytical methods
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description and requirements can be found in both German and English here: https://www.uni-greifswald.de/universitaet/information/stellenausschreibungen/wissenschaftliches-personal/stellenausschreibung/n
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and