173 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"EURAXESS" Postdoctoral positions in Denmark
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computational protein designs into validated therapeutic candidates. Your responsibilities will include: De novo design of minibinders Recombinant expression and purification of AI-designed minibinders (miBds
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Administration, Welfare, and Politics (PAWP) in relation to the CALi project headed by Associate Professor Matthias Döring (funded by DFF, titled “Navigating the System – Citizens’ Administrative Literacy”). We
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developed. You should be highly qualified in: Thermodynamic theories and models for electrolyte solutions Mathematical modelling and computational algorithms Scientific dissemination As a formal qualification
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Professor Pernille Klarskov Hansen, klarskov@ece.au.dk , +4593531158, Department of Electrical and Computer Engineering Deadline Applications must be received no later than January 31st 2026. Application
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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interpretation in collaboration with interdisciplinary partners, including development and integration of open-source data pipelines You will report to Associate Professor Lotte Bonde Bertelsen. Your competences
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer