45 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at Aarhus University
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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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. About the role: We are seeking a talented, highly motivated and enthusiastic Postdoctoral Research Associate as part of the EPSRC programme grant “Total Body Nuclear Imaging for the Development
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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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-secondary and university levels, with particular attention to language pedagogy, curriculum development and teacher education. Applicants must have native or near-native proficiency in at least one of the
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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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supervise students at Bachelor’s and Master’s level, and you will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with
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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
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engineering, geoinformatics, computer science, or a related field with a focus on deep learning applied to remote sensing or geospatial data Documented experience with deep learning model development (e.g