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activities in CMOS circuit design, neuromorphic computing, cryogenic electronics, and spintronic-based computing systems. The role also contributes to Denmark’s and Europe’s strategic ambitions under the EU
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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will be 16 May 2026, or as soon as possible thereafter. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career
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5-year undergraduate nanotechnology programme and nanoscience graduate programme (https://phd.nat.au.dk/programmes/nanoscience/) the center provides a full educational environment. In
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Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data ...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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Assistant Professor in Cognitive psychology, Clinical psychology, or Health psychology ved Instit...
research profile. The psychology program in Esbjerg has a strong focus on community and applied psychology, emphasizing co-creation with industry, public institutions, and civil society. The Department is
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. The center is part of the Faculty of Health and Medical Sciences, University of Copenhagen. Job description As a group leader, you will establish an independent research program within translational diabetes
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written English. Willingness to contribute to the Biology teaching program at BSc and MSc levels, in particular in the area of Animal Physiology and Zoology. Interest in working in an interdisciplinary
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of microbiome engineering through innovative research, teaching, and collaboration. Responsibilities and qualifications We are seeking a top scientist with a research program in engineering and modification
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also