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-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT
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amino acids, e.g. lysine, using fermentation technology. For this purpose, microorganisms that efficiently secrete amino acids will be developed. The vision is that microorganisms, in the future, can be
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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biopolymer science. The Department currently employs approx. 60 full time scientific staff and 80 PhD students and Postdocs, with approx. 80 thesis based Bachelor and Masters students and visiting staff and
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optics and a Ph.D. in physics, quantum information science, or a related field. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related
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data science or AI is not critical but will be considered an advantage. Further, the candidate should contribute to a positive and constructive working environment by active participation and be open to
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the human blood system, and the heterogeneity that exists therein. You will use a combination of systems biology and data science to gain a better understanding of cell differentiation at the protein-level
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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog