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in AI and machine learning for ensuring stability in financial markets and investments. The role is based at University of Bristol, School of Engineering Mathematics and Technology, and will involve
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quantitative data analysis methods such as machine learning and behavioural classification in ants is essential. You will be ideal for this position if you are well-organised, eager to learn new skills and
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on machine learning, and developing and applying simulation methods and models for equilibrium and nonequilibrium molecular dynamics simulations. You will model meta-lactamases enzymes involved in resistance
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to our school’s educational offerings is a key expectation, including how we respond to the growth of machine learning solutions in our teaching provision. We are committed to diversity and inclusivity and
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structure prediction tools. This will include development and application of interactive molecular dynamics simulations in virtual reality, and use of design methods based on AI and machine learning. You will
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. Developing data pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the application of AI in developing resilience to pandemics
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or computer modelling of behaviour. You will be highly motivated, collaborative and an excellent communicator (especially with respect to writing), and have a demonstrable desire to learn new skills
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join the Physical Mathematics Laboratory, a team of researchers led by Dr. Stuart Thomson with interests in physical applied mathematics, machine learning, and robotics. The successful candidate will
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and life safety alarms Operating a modern 24/7 Security Control Room Emergency 'First responder' services to a wide spectrum of incidents Car Parking enforcement Promote crime reduction and personal
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of machine learning techniques to build predictive models for outcomes such as joint replacement; Mendelian Randomisation studies utilising genetic data in UK biobank and other cohorts to establish whether