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We are seeking an ambitious and highly motivated Research Fellow in Computer Vision to contribute to an EPSRC-funded project, LungSight, focused on visual and acoustic screening for early detection
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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April 2026, working with a multidisciplinary team of clinicians, public health researchers, and data, social and computer scientists. About You The successful candidate will have a good honours degree and
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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laboratories, dedicated PGR facilities along with study and breakout areas. With a strong emphasis on employability, the business and law programmes offer students an opportunity to undertake a placement
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trading floor, mock and real courtrooms, computer laboratories, dedicated PGR facilities along with study and breakout areas. With a strong emphasis on employability, the business and law programmes offer
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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studies coding transcripts which may include developing high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including
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inventories, purchasing, grants management, equipment maintenance and lab meeting. Desirable criteria Advanced computer skills, including word-processing, spreadsheets and the Prism software Record