748 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM
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About the role We are recruiting a Research Fellow to lead the team's work on zoonotic risk assessment and biosecurity. This is an emerging area as Artificial Intelligence capabilities are increasing. We have outlined strategies for improving surveillance for early detection of novel pathogens,...
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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spectrometry–based proteomic approaches, working closely with bioinformaticians to integrate molecular datasets with clinical metadata using advanced computational and systems biology methods, including
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well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience. Please view the job description and person
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acquired in recent postgraduate training (PhD or MSc). Those with a suitable background in subjects such as mathematics, statistics, computer science, causal or translational epidemiology, data mining and