44 programming-"Northeastern-University"-"https:" positions at Nature Careers in Denmark
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
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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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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program. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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research in Nanoscience and Nanotechnology. The center gives access to a broad range of infrastructure, tools and expertise including clean-room facilities. With a 5 year undergraduate nanotechnology program
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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and biology. The department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy, and health. Read more about the Ph.D. program at
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Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal healthcare for you and your family as residents. Five weeks of paid
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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 here
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. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient