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on qualified candidates for the position. DTU Compute Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We
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abstract mathematical concepts and their use in biological physics to work with experimentalists in biological physics, including the interpretation of data. Work in this position is required to focus on how
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externalities of transport. The division is interdisciplinary with scholars originating from transportation engineering, economics, psychology, computer science, social data science, machine learning, mathematics
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department focused on basic research. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across physics, chemistry, pharmacy, mathematics, computer science
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Job Description Do you want to make a difference by developing “cow-free” milk ingredients? If you excel in pilot-scale fermentation, have experience in downstream processing as well as in heterologous protein expression, and if you are looking for the best place to unfold your skills, we have...
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processing, IT, machine learning, or applied mathematics. Professional industrial experience is desirable. Applicants should have at least two years of postdoctoral research or equivalent industrial experience
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. DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital
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A position as Laboratory Assistant is available at the Biotech Research & Innovation Centre (BRIC) (https://www.bric.ku.dk) in the group headed by Associate Professor Dr. Fena Ochs. The post is available from the 1st of September 2025. The Biotech Research & Innovation Centre (BRIC) BRIC was...
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to attract the best and the brightest by providing the environment to enable curiosity-driven breakthrough research in the physical sciences and mathematics. The Academy hosts numerous workshops, symposia and
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externalities of transport. The division is interdisciplinary with scholars originating from transportation engineering, economics, psychology, computer science, social data science, machine learning, mathematics