10 engineering "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" Fellowship positions in Denmark
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
Visualization at Computer Science, Aarh... Employer Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 1 Sep 2026 View more categories View less categories
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position is funded by the Center for Anytime Anywhere Analytics (CA3). The starting date is 15 November 2026, or as soon as possible thereafter. Department Description The Department of Computer
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position is funded by the Center for Anytime Anywhere Analytics (CA3). This is a full-time, on-site role located in Aarhus for a Postdoctoral Fellow at the Department of Computer Science, Aarhus
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PhD Scholarships in Engineering of Quantum Light Sources and System Architecture for Photonic Qua...
engineering of system architecture for photonic quantum information technology. The position is offered within the framework of the EU Horizon Europe MSCA Doctoral Network “A Photonic Quantum Computer
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Department of Computer Science at Aarhus University (Denmark) invites applications for a 4-month Postdoctoral Research Fellow position with focus on Cryptography. The starting date is November 1st
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degree programs at Aarhus University, especially but not exclusively related to AI, https://digitalcurriculum.au.dk in collaboration with colleagues from CED and NAT Join as a co-teacher in a few of the
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. Your competencies Applicants must have a strong technical background, ideally in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field
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The EvOmics group at Aarhus University is seeking a postdoctoral researcher. The position is based at the Center for Quantitative Genetics and Genomics (QGG) under the supervision of Asst. Prof
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on enabling and hindering factors for scaling, including market conditions, policy frameworks and local infrastructures. You will work closely with colleagues in the Materials Science and Engineering
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perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported Collaborate Work (CSCW), Human-Computer Interaction (HCI), Participatory Design, and Artificial