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vision models for automated performance assessment and feedback. Ultimately, this research will contribute to the creation of scalable, data-driven training programs that enhance surgical performance
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and metrics may also support the development and evaluation of computer vision models for automated performance assessment and feedback. Ultimately, this research will contribute to the creation
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. This programme, managed by the European Research Council (ERC) provides a distinctive funding mechanism devoted to scientific excellence for all scientific fields. The following types of grants are available
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European cities. The project explicitly embraces a broad AI perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural
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where each offers its own separate study programme, rather than a joint study programme. Students can choose to complete part of their studies at a partner institution, allowing them to earn two separate
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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 09/03/2026 (DD/MM/YYYY
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Last application date Mar 15, 2026 23:59 Department RE22 - Department
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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 a Research Infrastructure? No Offer Description Last