46 assistant-professor-computer-science-data-"https:"-"https:" PhD positions in Denmark
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Role Description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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Bødker Christensen and Assistant Professor Jaron Skovsted Gundersen . CLASSIQUE is a cross-departmental Centre of Excellence bringing together researchers from electrical engineering, mathematics
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of Health Science and Technology, Aalborg University. The main supervisor will be tenure-track Assistant Professor Fenfen Ge. The PhD student will also have the opportunity to work closely with co-supervisors
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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The Centre for Journalism, Department of Political Science and Public Management , University of Southern Denmark, Odense, invites applications with a strong computational profile for a three-year
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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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supervised by Professor Jakob Lauring, Department of Management, Aarhus University; Associate Professor Charlotte Jonasson, Department of Psychology and Behavioural Sciences, Aarhus University; and Professor
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with
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, data analysis, and dissemination of research findings. The project combines perspectives from systemic innovation, integrated care, and health economics. The PhD student will collaborate closely with