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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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natural products for further investigation. The candidate will assist in the isolation and purification of natural products and the subsequent structural elucidation using NMR. When beneficial, chemical
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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: 30.06.2025 | Full-time/Part-time DESY, with more than 2900 employees at its two locations in Hamburg and Zeuthen, is one of the world's leading research centres. Its research focuses on decoding the structure
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-Neptunian objects for the various suggested theoretical models. The developed workflow should also be applicable to the other discovery science projects in Dynaverse. Your tasks in detail: Perform scientific
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computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique
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assigned to the research project "Randomization of Surrogates for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The
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evaluation and presentation, preparation of reports and scientific publications Good communication and information behaviour Goal-oriented and structured way of working Initiative / commitment Willingness
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 3 months ago
Job Code: 25/021 Job Offer from May 28, 2025 The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is the
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a