667 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions in Denmark
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, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It
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that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 September 2026. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements
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in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field Has strong theoretical and practical experience in deep learning Has hands
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for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 17. Questions For specific information about the PhD fellowship
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at the Department of Odontology is financed by public funding. Information about the Department of Odontology: https://odontology.ku.dk/ The field of Oral Radiology is part of the research section for Clinical Oral
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these experiences teach them lessons about their own fit in politically powerful positions. The two positions advertised in this call focus primarily on the second work package. The YOPOW research project runs
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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming
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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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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