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Position: Post-Doctoral Research Associate – Biomedical Image Analysis
Institution: University of Lincoln
Location: Lincoln, Lincolnshire, United Kingdom
Duties: As the successful candidate, you will join a friendly and diverse team of postgraduate students with interests in computer vision, machine learning, and biomedical imaging. Your project will be focused on developing deep learning approaches for the detection of skeletal phenotypes from x-rays of mice. Using a large annotated dataset produced by the International Mouse Phenotyping Consortium (IMPC), you will develop a novel approach to classifying a wide range of skeletal anomalies from multi-view input
Requirements: Candidates should have, or expect to soon obtain, a PhD in a relevant discipline and experience in computer vision/deep learning. They must also have strong mathematical and coding skills, and preferably some experience in open-source software development
   
Text: Post-Doctoral Research Associate - Biomedical Image Analysis As the successful candidate, you will join a friendly and diverse team of postgraduate students with interests in computer vision, machine learning, and biomedical imaging. Your project will be focused on developing deep learning approaches for the detection of skeletal phenotypes from x-rays of mice. Using a large annotated dataset produced by the International Mouse Phenotyping Consortium (IMPC), you will develop a novel approach to classifying a wide range of skeletal anomalies from multi-view input Candidates should have, or expect to soon obtain, a PhD in a relevant discipline and experience in computer vision/deep learning. They must also have strong mathematical and coding skills, and preferably some experience in open-source software development
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