56 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Aarhus University in Denmark
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The Department of Mechanical and Production Engineering (MPE) at Aarhus University invites applications for a postdoc position offering applicants an exciting opportunity to join the “Fluid
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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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 salary range Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation
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Applications are invited for a 23-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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responsibility and reliability. Your profile Applicants are expected to have: A Master’s degree (MSc) in Chemical Engineering, Biotechnology, Materials Science, Polymer Science, or a closely related field Basic
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condensed matter physics? Then the Department of Mechanical and Production Engineering at Aarhus University, Denmark, invites you to apply for a 2 year post-doctoral position from February 1st, 2026 or as
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fluorescence lifetime as the read-out. Based on very promising preliminary studies we seek to employ iterations of protein engineering to improve an existing biosensor and perform a comprehensive