47 processor-"https:" "https:" "https:" "https:" "https:" "BI" PhD positions in Denmark
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is expected that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 February 2027. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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, visit https://ctn.ku.dk/ . The Center currently has 55 employees and students and is divided into five labs. CTN is characterized by a highly ambitious yet collaborative research environment; we
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: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in
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eminent researchers with influential positions in Denmark and abroad (https://plen.ku.dk/english/research/plant_biochemistry/ ). Our laboratory aims to provide science-based solutions facilitating
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis