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differentiation pathways are influenced by different microenvironments. We use state-of-the-art single-cell data generation combined with computational analysis to establish principles of blood lineage
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise MSc and PhD students. Optionally contribute to teaching and proposal preparation. Required qualifications: As a formal
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interdisciplinary team, bridging bioimaging, T-cell immunology, basic skin biology, immune cell engineering, and multiomics analysis. Your Role The appointed researcher will be responsible for: Purify and culture
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
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or administrative registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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-based models for predicting ecosystem variables such as greenhouse gas fluxes. The research project will primarily target large-scale ecosystem analysis across the EU or the world. We expect that you will
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public debate concerning Scandinavian involvement in the war and regional realignments. Both projects will require extensive archival research and analysis of newspapers and pamphlets from the period
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. Familiarity with tools such as Aspen Plus, COMSOL, or similar for process simulation, as well as experience with techno-economic analysis (TEA), will be important for guiding the design and assessment of our