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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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thereafter. The position will be available for a 3-year period. You will be part of a research environment focusing on developing precise solutions for climate resilience in agriculture across EU Boreal region
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run for two years. The successful applicants are expected to: develop research focusing on riparian filter histories in either Denmark or Mexico to include, e.g. changes in land-water usage, drainage
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environment, offering excellent opportunities for training, exchange, and scientific development. We are hosted by the Department of Molecular Biology and Genetics, within the central campus of Aarhus
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funding. Development of national and international networks and collaborations in research. Your specific tasks will consist of Designing distinct strategies for engineering crops for beneficial association
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colleague with a collaborative attitude who can bridge those areas. The applicant is expected to contribute to the maintenance and development of an existing core facility for mass spectrometry within
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Are you interested in green energy, and do you want to contribute to the development of the future technologies for the green transition? At the Department of Biological & Chemical Engineering (BCE
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have the opportunity to develop your projects based on your existing experience and your own career goals. The project entails: -in vivo imaging of enteric neuronal activity, and immune responses
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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
one in Copenhagen) as Senior Innovation Coaches. Shape and sharpen the future of Danish health innovation capacity We are seeking two new colleagues to educate, train and support interdisciplinary
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Acceleration.” The aim is to develop a combined formative–reflective measurement model of social acceleration and build a comprehensive cross-national dataset (2000–2024) capturing technological change, social