49 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Technical University of Denmark
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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
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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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scientific 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
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position, please contact Professor Jakob E. Bardram at jakba@dtu.dk . Read more on CARP at https://carp.dk/ and about DTU Health Tech at www.healthtech.dtu.dk . Applications received after the deadline
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labelled images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please
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images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please see
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within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas. Preference will be given to candidates with competence in concrete