42 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" uni jobs at Nature Careers in Denmark
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to disseminate research-based knowledge internationally and nationally to relevant stakeholders. The successful candidate will be expected to teach and contribute to developing and managing courses at the Master
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Application deadline March 15, 2026, at 2359 hrs. CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3666/?lastSelectedFacet=CATEGORIES
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. AT-CERE is closely connected with the center CERE of DTU (www.cere.dtu.dk ) and KT Consortium (https://www.kt.dtu.dk/research/kt-consortium ) which is a cross-disciplinary and cross-center activity of
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Biomechanics, we are developing evidence-based football and multisport programmes to promote physical activity and improve fitness levels, learning, wellbeing and health profile in children and youth
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management and visions for teaching and learning will be evaluated. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are
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, creating impact at all levels while actively promoting the museum’s Vision and Values (https://snm.dk/en/about-museum). Further details of qualifications required for appointment at the museum are detailed
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most likely be held on 14 September 2026. International applicants may find the following link useful: http://www.ism.ku.dk (International Staff Mobility). The ISM website includes information about
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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academia and with clinical or industrial partners. Teach and supervise at the BSc, MSc, and PhD levels. Contribute to DTU Bioengineering’s research environment, including shared infrastructures
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole