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. The starting date is on 1st of October 2025. Short presentation of the research project The postdoc position is a part of the externally funded research project: Lost to Climate: The Arctic is experiencing some
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for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will be responsible for two projects dealing with generating signals within
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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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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. The position will initially be for 1 year, with a second year of funding available upon satisfactory progress. The desired starting date is as soon as possible. The project is funded by the Independent Research
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project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the impact of expanding low oxygen regions). RECLESS aims to predict how ongoing ocean deoxygenation impacts
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the fly platform, and reporting to the professor. This project involves different methodology including genetic manipulation, genetic screen, drug screen, microdissection, WB, IHC, and RNA-seq. Your profile
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. The position is available from September 1, 2025, or as soon as possible thereafter and for a period of 4 years. The project focuses on understanding the role of liver-derived bile acids in the kidney’s
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. This position is funded by a DFF Research Project grant led by Associate Professors Owen Jones and Johan Dahlgren. The successful candidate will join an exciting research project to understand the ecological and
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characterization and in situ studies of hard carbon materials for sodium ion batteries. In the project you will work together with another postdoc working on biochar pyrolysis, electrochemical and structural