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increasing political and epistemic challenge. Job description: - Active participation in a research project on UNESCO and the OECD - Lead in data collection and cooperation in data analysis (quantitative and
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Your Tasks Planning, setup, and commissioning of an inert sample transfer system between high-throughput synthesis using PECVD and PVD processes, combined with XRD/XRF analysis at a MetalJet source
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
control during embryogenesis. We are seeking a motivated, independent scientist with experience in RNA biology, molecular/developmental biology, biochemistry and/or computational analysis of sequencing data
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
research. The project will combine established methods from historical research with modern approaches from machine learning and network science. Your TasksThe work will involve the analysis of historical
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genomics, bioinformatics, or a related field. Previous experience in the analysis of next-generation sequencing data will be considered an advantage. The ideal candidate will have a solid background in
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includes close collaboration with the Institute of Clinical Molecular Biology (IKMB) and the Competence Centre for Genomic Analysis (CCGA), providing access to cutting-edge genomics infrastructure and
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, data analysis with R, TV-L E13, full-time, Munich. Starting in November 2026, application deadline: 30 September 2026. Postdoctoral researcher (m/f/x) Munich School of Politics and Public Policy
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Lehre Anstellungsart: Vollzeit Veröffentlicht: 10.08.2026 Befristung:Befristet (3 Jahre) Vertrag:TV-L Ihre Aufgaben Establish computational pipelines for the analysis and integration of single-cell multi
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; sectoral and policy analysis using agricultural market models (e.g., AGMEMOD, CAPRI) to assess climate and CAP-related policies; economic policy assessment and forecasting using CGE and related modelling
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) Interest and ideally experience in microbiome omics (16S/shotgun; analysis or interface expertise), ideally knowledge in bioinformatic pipelines Solid experimental design and data analysis skills (R/Python