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Field
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: A Masters degree with subsequent PhD in chemistry, physics, environmental science, atmospheric science, meteorology, or a related discipline Strong software skills and good knowledge
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Research Assistant (postdoc) (m/f/d) (E 13 TV-G-U) available for three years starting as soon as possible. The salary grade is based on the job characteristics of the collective agreement applicable
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dynamics. Your responsibilities: Assessing data-based models of the geomagnetic field over long-time scales, excursions, reversals and time-averaged field Development and testing of a data assimilation
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Preferred start: from November 2025 Short description This project will (i) quantify global and regional deviations from typical ageing using brain-age models, (ii) disentangle prenatal vs. postnatal
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courses at the institute Health protection offers at the Institute (in cooperation with voiio GmbH) Flexible, family-friendly working hours HVV Deutschlandticket subsidy Canteen use subsidy The position is
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to integrate multi-omics datasets and link epigenomic evolution to emerging phenotypes Use high-throughput CRISPR perturbation screens in cerebral organoids to test the functional relevance of candidate elements
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will have the opportunity to test a variety of approaches, develop innovative concepts and create the basis for future-oriented third-party funded projects. Become part of a dedicated team that develops
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Models (LLMs) to create the methodological foundation for next-generation AI systems that clinicians can truly understand and trust. All components will be released as open-source software and reusable
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 days ago
phenotypes Use high-throughput CRISPR perturbation screens in cerebral organoids to test the functional relevance of candidate elements Your profile PhD in the life sciences or a related field Expertise in
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification