396 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" positions in Denmark
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Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or
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learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics at the time of
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teaching assistantship duties. Expected Skills and Qualifications: We are seeking a candidate with a strong desire to make significant contributions to fundamental machine learning research
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efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will be expected to conduct original, high-quality research targeting
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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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structured, well-documented way that supports benchmarking, reproducibility, and reuse by others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent
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efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will be expected to conduct original, high-quality research
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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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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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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
Chemistry at the Institute of Materials Chemistry, TU Wien. The group develops and applies electronic-structure theory, machine-learning methods and predictive calculations of defects and transport properties