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Are you interested in green energy, and do you want to contribute to the development of the future technologies for the green transition? At the Department of Biological & Chemical Engineering (BCE
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, supported by advanced systems-level modelling and close collaboration with industrial and policy stakeholders. The successful candidate will contribute to the HyperCap research program focused on developing
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Biotechnology Research Institute for the Green Transiation (BRIGHT) is developing novel methods to engineer proteins
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. What we offer An exciting and intellectual position in a dynamic and collaborative research
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
of the team of Prof. Alfred Spormann in the Department of Chemistry at Aarhus University to engage in cutting edge systems-level research in metabolic dynamics and plasticity of acetogens during gas
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Applications are invited for a Postdoctoral Researcher position in quantitative proteomics at the Department of Molecular Biology and Genetics (MBG), Aarhus University, Denmark. The position is
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A 24-month postdoctoral position is available in organic synthesis and drug development at the Department of Chemistry, Technical University of Denmark, starting from August 2026. The project will
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural