294 informatics-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions in Denmark
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learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification
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technologies Research Field Computer science » Informatics Computer science » Cybernetics Computer science » Other Engineering » Computer engineering Engineering » Electronic engineering Engineering » Other
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postdocs positions in the Center for Basic Research in Program Verification (CPV) at Department of Computer Science, Aarhus University. The research topics at the Center for Basic Research in Program
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at: ACP: https://acp.sdu.dk/ SustainAI: https://sustainai.sdu.dk/ Department of Mathematics and Computer Science: https://imada.sdu.dk/ Who We Are Looking For Applicants are expected to hold a PhD
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industry and society. More information can be found at: ACP: https://acp.sdu.dk/ SustainAI: https://sustainai.sdu.dk/ Department of Mathematics and Computer Science: https://imada.sdu.dk/ Who We Are
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Tenure-Track Assistant Professor / Associate Professor in AI-Driven SW Specification, Development...
: https://acp.sdu.dk/ SustainAI: https://sustainai.sdu.dk/ Department of Mathematics and Computer Science: https://imada.sdu.dk/ Who We Are Looking For Applicants are expected to hold a PhD degree in
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Want to show what student life at the Department of Computer Science is really like – the good, the challenging and the fun? And do you know what makes content work for a student audience on
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-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/niels-van
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leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research
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PhD Position: Tracking Microbes Across Borders using Genomics to Uncover Biomass-to-Biogas Transmission Pathways at Aarhus University This site uses cookies to store information on your computer