42 computer-security-"https:"-"https:"-"Universidade-Portucalense-Infante-D" 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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We invite applications from researchers to join our XR (extended reality) and Visual Computing research groups. We have 3 posts available from 1 May but there is flexibility for later start dates
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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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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The Department of Computer Science, Aarhus University, invites applications for a full-time 2-year Postdoctoral position, starting 1 April 2026– or as soon as possible thereafter. Position and
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is secured within the academic area the candidates are assessed obviously qualified for, an extension is possible for up to a total maximum of four years of employment as a postdoc. The position has
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater