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can be found at https://wp.doc.ic.ac.uk/szafeiri/ . A PhD (or be close to completion) in an area pertinent to the subject area, i.e., computer vision, machine learning. A proven track record of
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strong background in both robotics and machine learning, with first-authored publications in the leading international conferences/journals in robotics. Candidates should have experience in some or all
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Information Retrieval. You will also have support from a Senior Company Supervisor. Candidates should have a degree of Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software
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of specialist knowledge demonstrated by a PhD (or nearing completion), or equivalent qualification/experience, of the core knowledge relating to genomics and/or health data science in order to teach
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programming), (2) populating agent-based models with realistic agent behaviours (e.g. using machine learning techniques), (3) calibrating large-scale agent-based models and (4) validation and verification
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Working with cutting-edge methodologies in geostatistics and machine learning, you will analyse a rich data set recording the frequencies of genetic mutations that confer insecticide resistance in wild
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Undertake high-quality collaborative research to enhance CNI cyber security using machine learning. Develop and support simulation and benchmark environments for CNI. Design and refine realistic simulations
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programming for data analysis and machine learning/deep learning, using python or R. Ability to work well within a interdisciplinary team. Commitment to contribute to positive research culture. Apply Before: 16
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, including linear-scaling density functional theory (LS-DFT), quantum embedding, and machine learning potentials, to systematically characterise unidentified colour centres, and explore this vast
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greener transportation and energy. Building on recent advances, the successful candidate will use a powerful combination of dynamical systems theory, optimisation, DNS and machine learning to model and