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research. The candidate should have a PhD degree in Physics, Chemistry, Chemical Engineering or Materials Science and insight in catalysis. It is essential that the candidate has experience with synthesizing
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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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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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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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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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experimentalists and computational groups. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in data science, computer science
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international quality, including publication. Single cell RNA sequencing and data analysis Characterization and production of monoclonal antibodies Flow cytometry Confocal microscopy qPCR In vitro cell cultures
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cooperate on teaching Your profile We are searching for a highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar Research experience on process
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on other issues. Both the type of information required to make these decisions and the decision-making processes that can achieve socially just outcomes are unknown. In this project, we aim to bridge
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
Two 2-year postdoctoral positions in environmental microbiology, with the possibility of extension, are available in the Nordcee research group , Department of Biology, University of Southern