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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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Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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of Drosophila as a model organism Experience working with microscopy Strong communication skills – verbally and written Excellent computer skills including Microsoft Office packages Desirable criteria Experience
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instrumentation Excellent communication skills with a wide range of people Ability to organise own work with minimal supervision Good computer skills, including word-processing, spreadsheets, and the Internet
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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