52 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Technical University of Denmark
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department project that develops lifelong learning opportunities in digitalisation for wind energy. In this role, you will take the lead in defining and executing communications and marketing priorities
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factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods. Learn more at https://www.biosustain.dtu.dk/ Technology
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mechanics, vibrations, and their active control, as well as machine elements and design optimization. The section has a scientific staff of about 25 people and 20 PhD students. The research rests
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factories. There are lot of opportunities to learn and develop new technologies through different projects and close collaboration with interdisciplinary teams in biofoundry. Primary areas of responsibility
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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research groups inside the department as well as across DTU and with both academic and industrial partners in Denmark as well as abroad. Your ability to work collaboratively and foster a supportive learning
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an experienced self-driven scientist, with a keen eye for new developments in the general research field. The candidate’s ability to work collaboratively and foster a supportive, innovative learning environment is
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highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . In
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of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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materials mechanics, vibrations, and their active control, as well as machine elements and design optimization. The section has a scientific staff of about 25 people and 20 PhD students. The research rests