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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
in individuals’ other life domains (e.g. partnerships, education, employment, housing) and to changes in their socio-economic context. The project will involve analysis of individual-level data from
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of a housing system for mice and the analysis of the effects of housing conditions on the immune phenotype and immune resilience. The aim of the project is to analyse the effects of an animal-friendly
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analysis of individual genes, RNAs, proteins, and metabolites is often complemented by an analysis of cellular systems in their entirety. However, this development also poses a major challenge, namely the
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. The department focuses on the production, analysis, and simulation of functionally optimized structures from the nanometer to the micrometer scale in electrochemically active materials, as well as the development
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: superconductivity, magnetism, cryogenic technology, electric measurement techniques, materials and property simulation (i.e. COMSOL), computerbased data analysis. We are looking for a candidate with pronounced
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profile Completed university degree (Master’s) in biology, geosciences or related areas Experience in morphology, neuroanatomy, and paleontology of turtles is desired Expertise in the analysis of digital CT
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. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering a PhD position (m/f/d) (Position number: 21-2025 PhD PATH) in the field of paleoclimate
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the resulting products could influence the aroma of processed Brassica vegetables. Tasks include planning and conducting plant cultivation and food chemistry experiments chemical analysis of educts and reaction
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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property