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Field
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: university degree (Master or diploma) in physics, biology, computer science, or a related field excellent background in RDM principles and FAIR data practices, ideally gained in a scientific environment
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The University of Göttingen enjoys high international acclaim, owing to its long research tradition and broad spectrum of subjects in the natural sciences, life sciences, humanities and social
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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5 Sep 2025 Job Information Organisation/Company Max Planck School of Cognition Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 1
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in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and
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funded by the Leibniz Collaborative Excellence program and conducted in cooperation with the Institute of Space Systems at the University of Stuttgart. The position includes setting up a multi-metal lidar
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molecular tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon
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universities, the Helmholtz Association and Fraunhofer Society. Teaching language English Languages English (100%) Mode of study Less than 50% online Programme duration 8 semesters Beginning Winter semester
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Requirements: university degree (Master or diploma) in physics, biology, computer science, or a related field and, if applicable, PhD degree excellent background in RDM principles and FAIR data practices