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vision systems addressing an urgent industrial challenge with immediate, large-scale impact. The project will take existing knowledge in computer vision and deep learning and apply it directly to a
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expertise in machine learning and data-driven modelling, particularly probabilistic methods, alongside proficiency in scientific programming (e.g. Python, MATLAB). Knowledge of the steelmaking process would
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. To learn more about the Institute for Health and Care Improvement, please visit: yorksj.ac.uk/ihci We offer a range of family friendly and inclusive policies and facilities and welcome applications from
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responsible for supporting the delivery of various foresight research projects the Centre will be undertaking. This is an excellent opportunity to gain academic research experience and to learn from leading
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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, particularly MRI, medical physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell
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England. Attracting and retaining high-calibre people is fundamental to our continued success. The Role Are you interested in applying machine learning and computational methods to address real-world
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theoretical chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning. The group is part of
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing programme including free yoga and bootcamp