34 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral research jobs at Aarhus University in Denmark
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The Center for Quantitative Genetics and Genomics (QGG) has a leading position in research related to breeding for climate related traits like methane emissions and feed efficiency in cattle
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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The Department of Biology, Aarhus University, invites applications for a two-year postdoc in population and conservation genomics, focusing on genetic load in high-Ne species. Project description
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Engineering. Close collaboration with our neighboring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics and iNano
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Applications are invited for a 2-year postdoc position on the topic of the Gut-Brain axis at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. You will join a new lab
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The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time