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Field
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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PhD Candidate in Economics, Centre for Applied Macroeconomics and Commodity Prices (CAMP) BI Norwegian Business School offers a four-year Ph.D. Programme with specialization in Economics, which
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Large vision-language models (LVLMs) can describe driving scenes and support decisions [Li25], but
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
vision models to monitor and track 3D objects from videos. Duration: The research fellowship will have a duration of 12 months. It’s expected to begin in January 2026 and may eventually be renewed. It is
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to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams are supported by the platforms for 1) opsin
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or computer vision or machine learning. Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. You must have a strong academic background from
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within the Institute of Health Informatics. The studentships will commence from Feb 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a