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Aarhus BSS Graduate School, Aarhus University invites applicants for two three-year PhD scholarships within the research project “Decoding Danish Firm Innovativeness from the Consumer Perspective
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cytokines and acute phase reactants. A solid background in assessing the bioavailability of different sources of vitamin D. Demonstrated ability to conduct independent research within this area, experience in
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, 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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from observations, sensors, or eDNA, in combination with environmental drivers, land-use history, and management. Experience with large and heterogeneous datasets is important. The successful candidate
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other things, pesticides, as well as other projects The ideal candidate is expected to have solid chemical knowledge and experience, including experience with analytical chemical methods. Familiarity with
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under uncertainty (e.g., planning, reinforcement learning, probabilistic reasoning); Multimodal information fusion and state estimation; Foundational or representation learning models for robot
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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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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
cytokines and acute phase reactants. A solid background in assessing the bioavailability of different sources of vitamin D. Demonstrated ability to conduct independent research within this area, experience in
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to offer students a solid analytical foundation in strategy, management, and organization. You can read more about the group here: https://www.business.aau.dk/research/research-groups/som How to apply Your
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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