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The Ph.D. project offers the opportunity to investigate and pursue research in machine learning applied to endoscopy, with access to Cosmo IMD computational facilities and a proprietary library of annotated endoscopy videos. These datasets are unprecedented in size, quality, and heterogeneity and will offer an exclusive real-world benchmark for self-supervised and fully supervised learning approaches.
Job Responsibility:
investigate and pursue research in machine learning applied to endoscopy
Requirements:
first-class, distinction, or high upper-second-class degree in relevant subjects, including computer science, mathematics, engineering, physics, or another discipline relevant to their Ph.D. project proposal
outstanding Ph.D. candidates with a strong interest, enthusiasm, and high potential in machine learning research for medical imaging applications
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