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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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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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, 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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Contract & job type: Full-time, fixed term for 2 years About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes
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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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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics
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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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About Us The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) is one of six schools that make up the Faculty of Life Sciences & Medicine (FoLSM) at King College London. The school
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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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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