43 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "St" research jobs at University of London
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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programme. In addition, this role will provide: Training in genomics and pathogen sequencing Opportunities to collaborate with academic and governmental partners Experience working within an interdisciplinary
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international networks, close links to museums and heritage organisations, and an active programme of seminars, workshops, and public events. The post will also require significant amount of time spent
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About the Role Two PostDoctoral Research Associate roles are available to join the laboratories of Dr Radu Zabet and Prof Silvia Marino on a 3-year Barts Charity funded project. The successful
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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About the role This role supports a multidisciplinary programme investigating the role of the Maresins, a family of pro-resolving lipid mediators, in early cancer development. You will process
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, viral hepatitis and COVID-19 You will undertake research investigations in collaboration with and under the supervision of Professor Chloe Orkin to realise the objectives and development of the research
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successful candidate will join the Intelligent Muscle Research Group, led by Dr Majid Taghavi, within the Advanced Robotics Laboratory. The role involves close collaboration with a team of researchers, led by
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research project led by Dr Gemma Brierley, whose group investigates the molecular underpinnings of insulin resistance. This project builds on our previous work using agonistic antibodies to activate mutated