29 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Aarhus University
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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departments at the Faculty of Technical Sciences at Aarhus University. Our vision is to be a world-leading department for research, education and innovation in electrical and computer engineering, creating a
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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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. The postdoctoral
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academic or industry leadership roles. Your profile Applicants should hold a PhD in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, or a similar field, with a strong
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learning, with approximately 240 full-time researchers, including 80 PhD students, and 4,500 Bachelor’s and Master’s degree students. The school’s activities are characterised by a high degree of
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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applicant will be able to teach in English or Danish. Qualifications Required qualifications: PhD degree or equivalent qualifications in a field relevant to the study of digital platforms, such as media