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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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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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launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong
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should be made via the online application system at: https://app.casc.cam.ac.uk/fas_live/trinclfms// . Further details are available at: https://www.trin.cam.ac.uk/hr/vacancies/ . The closing date
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited
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researchers, entrepreneurs, and industry leaders to create measurable impact. With a £4.5 million live project portfolio – https://cbitvb.uk/projects/ – CBIT operates through three pillars: Applied Research
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that have brought new therapeutic strategies to patients. Further information can be found on our website http://www.ucl.ac.uk/pharmacy/ The Division is housed in an iconic, dedicated building in Brunswick
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. These fellowships are fixed term for 5 years and are an excellent stepping-stone to establishing an independent research career and gaining a full-time permanent academic position. FSE and Rapiscan (https
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Institute. The post is available immediately and funded by ARUK until 30 April 2029 in the first instance. For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work