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design and integrity management of the support structure of the subsea HVDC electrode unit, supported by experimental tests and validated numerical models, to enable lightweight, reliable, cost-efficient
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quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong
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, comparing it with state of the art open-loop reinforcement learning methods. The next step will be to validate the new method experimentally: you will do this by performing automated controlled fermentation
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si . Project topics SI particularly invites for PhD project applications pertaining
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experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators. Our work environment is supportive, dynamic, and
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state-of-the-art experimental and computational approaches. Our mission is to develop innovative and sustainable solutions to the most pressing issues facing our societies in terms of bioproduction and
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robotic research platform and an automated ‘Device Doctor’ for perovskite solar cells. The goal is to combine high-throughput experimentation, machine learning, and advanced modeling to accelerate device
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position in experimental cognitive psychology to be filled by 1 September 2026 or after agreement. Information about CoInAct can be found at https://psychology.ku.dk/coinact/ Job content The PhD student will
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available as preprints: https://www.biorxiv.org/content/10.1101/2025.11.06.686939v1 and https://www.biorxiv.org/content/10.64898/2025.12.08.691990v1 We use a wide range of experimental approaches including
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regulatory pathways and decipher underlying mechanisms. Candidate will perform experimental laboratory work, including generation of CRISPR-edited cell models, mass spectrometry-based analysis of protein