43 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Aarhus University in Denmark
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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their research agenda and approach to this topic in accordance with their broader research interests, expertise, and career development. The various tasks of the position are organized in continuous agreement with
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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The Department of Agroecology at Aarhus University, Denmark, invites applications for a position as Professor in the area of Ecology, Evolution, and Management of Weeds in Agroecosystems
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responsibilities As Professor of advanced arrhythmia management, you will have joint responsibility for the development of the department's research and teaching environment, and you will contribute
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Assistant Professor focusing on environmental Life Cycle Assessment (LCA) of food and agricultural systems. The position is a career development position with the possibility of transitioning to a tenured
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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faculty here . Your job responsibilities As Professor of Cognitive Neuroscience at the Department of Clinical Medicine, you will have joint responsibility for the development of the department's research
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development