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” (RAISA) as part of the German Research Foundation's priority programme “Antarctic Research”. You will collaborate with national and international partners, including the Alfred Wegener Institute for Polar
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 10 hours ago
conditions of a repository in clay or crystalline rock” (RULET), that is funded by the Federal German Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety. The position is
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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of observational data #practical fluid mechanics experience in the lab or in the field #international research experience #academic publication record #willingness to learn German For further questions please
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demanding employment with an excellent working atmosphere in a highly motivated, international team. Tasks: scientific research on optical properties of excitonic many-particle states in novel two-dimensional
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Cancer Consortium (DKTK). For the DKTK partner site Munich, we are seeking for the next possible date a PhD Student in Mutational Processes Driving Somatic Evolution Reference number: 2025-0224 From
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biogeochemical processes of the coastal ocean and the impact of anthropogenic influences on the natural state. It is located near Hamburg. PhD Position Reference code: 50136009_4 – 2025/KD 2 Commencement date: as
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). LanguagesENGLISHLevelExcellent Research FieldChemistry » BiochemistryYears of Research Experience1 - 4 Internal Application form(s) needed PhD_Protein_0.pdf English (179.8 KB - PDF) Download Additional Information Benefits
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using