173 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Denmark
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including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications
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programme on 1 September 2026. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information
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programme on 1 September 2026 Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research FieldArtsEducation LevelMaster Degree or equivalent Additional Information
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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be learned from these firms for innovation practice and theory. The research departs from the premise of the Danish Innovation Index: firm innovativeness can (and should) be assessed by those who
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responsible business and governance is organised around various research environments. Further information is available here: https://www.cbs.dk/research/department-management-society-and-communica
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. Employment and enrolment conditions follow the agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations (AC). More information on the PhD programme: https
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. For further information please contact Professor Carsten Uhd Nielsen, e-mail: cun@sdu.dk Website: https://www.sdu.dk/da/forskning/farmaci-sektionen/forskere/researcherswithinsection/carsten-uhd-nielsen
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging