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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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fellow will play a key role in multiple research projects, with responsibilities including study design, data analysis, manuscript preparation, presenting findings at international conferences, and
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temperate and boreal habitats. This multidisciplinary project combines fieldwork, remote sensing (camera and drone-based imagery), and genetic analysis, aiming to elucidate the adaptive potential of species
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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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-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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gene editing, or protein structure prediction Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational skills. Strong communication and collaborative
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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
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, statistics, economics, biology, physics, or any other quantitative science. Knowledge of/or strong interest in population studies and formal demographic methods Experience in statistical analysis, and/or
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at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind