343 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI"-"https:"-"https:" positions in Denmark
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with a background in either communication, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information
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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
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Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data ...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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collaboration with relevant colleagues the research assistant will be involved in selected research projects, and will take part in various teaching and supervision tasks, primarily within the bachelor’s program
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1. March or soon hereafter
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the academic staff Qualifications Currently enrolled in a relevant higher education program Experience advising or mentoring students—for example as a teaching assistant, tutor, or mentor Knowledge of one
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to deliver high-quality research-based teaching, including prior teaching experience or completion of a university pedagogical programme (or equivalent). Experience with course development, curriculum design