557 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | 29 days ago
, expertise in AI, and interest in academic research. Applicants should hold (or be about to complete) a PhD or strong master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related
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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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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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, 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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/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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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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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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disciplines? Do you have research experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the
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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