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DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
-track Assistant Professor position. The successful candidate will establish an independent, internationally competitive research program and contribute to teaching, supervision, and interdisciplinary
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pedagogical training programme for assistant professors The tenure track assistant professor’s performance will be evaluated through annual evaluations. Furthermore, the tenure track assistant professor will be
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Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant
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of Science in Physiotherapy programme, to teach modules at other bachelor and master programmes offered by the Faculty of Health Sciences and to supervise undergraduate and co-supervise PhD students
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Master’s program in Kalundborg. We value innovative teaching methods, including the use of digital technologies. Research: Your research will be anchored in AT-CERE which is part of DTU Chemical Engineering
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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the museum's liaison with relevant Danish natural history communities. The successful applicant will be expected to establish and develop an externally funded collection-based research programme/group
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—within the new Technical University Hospital of Greater Copenhagen (TUH) partnership. Responsibilities and qualifications Your overall focus will be to lead and grow a translational research programme in
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, and functionalizing EVs for targeted therapeutic delivery. Attract competitive external funding to support your research program. Build strong national and international collaborations, both within
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and