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duration of employment These are 2–year positions from April 2026 or as soon possible thereafter. Research area and project description The impact of freshening from melting land and sea ice is expected
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Job Description Project Description We invite applications for a postdoctoral position in experimental mass spectrometry-based proteomics, focused on peptide ionization, charge state behavior, and
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Project Description We invite applications for a postdoctoral position in experimental mass spectrometry-based proteomics, focused on peptide ionization, charge state behavior, and fragmentation
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BSc and MSc students and technical specialists work as a dedicated team advancing solid-state quantum sensing. We expect you to have: Strong experience in experimental quantum optics Skills in designing
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
, MSc and PhD students – though teaching duties may be low The ideal candidates: Holds a PhD with a solid background in quantitative genetics and/or animal breeding Holds a PhD with a solid background in
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and more answers and further insight about the Earth and the universe surrounding us. We contribute to about 200 scientific publications a year. In the Astrophysics & Atmospheric Physics Division
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of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
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activities will include (but not be limited to) understanding dynamic sea level changes, modeling vertical land movements, and quantifying gravitational changes caused by present and future changes in land
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
at improving the ecological state and biodiversity of temperate freshwater habitats and their catchments. The Department of Biology covers biology broadly, including ecology, ecotoxicology, bioacoustics
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boundary conditions, preferable for the gastrointestinal tract. Ability to analyse large heterogeneous biomedical datasets and develop computational models of organ anatomy and behaviour Solid understanding