356 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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particular for disorders affecting the retina, including inherited retinal degeneration (https://www.kcl.ac.uk/research/ocular-cell-and-gene-therapy-group). We are currently working up to conducting a first-in
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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expertise in machine learning, soil microbiomes, microbial 3D printing and biophysics, our team has access to a broad spectrum of techniques and practical know-how. This is therefore an exciting opportunity
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
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psychological issues, through research-informed teaching and active, real-world learning. This is an exciting opportunity to be part of this progressive Faculty, where you really can make a difference. A position
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, Jose Landivar-Scott, Nick Duffield, Kevin Nowka, Jinha Jung, Anjin Chang, Kiju Lee, Lei Zhao, Mahendra Bhandari, Unmanned aerial system and machine learning driven Digital-Twin framework for in-season
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, machine learning, and related AI approaches, this is your chance to work at the intersection of data science, pathogen-research and immunology, tackling questions that matter for global health. The position
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Fully Funded Studentship: Investigation of PFAS Occurrence and Transformation in UK Receiving Waters
desirable but not essential. Prior experience in data analysis/visualisation, machine learning or analytical chemistry would be beneficial for the position. Applicants who have not been awarded a degree by a
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and online systems. Maintain and update digital learning platforms used in teaching delivery, working with academic staff. Support the management of laboratory and teaching space access, bookings, and
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. The department has strong groups in a range of areas including algorithms, data science, machine learning and AI, mobile and distributed systems, secure systems, software engineering, computing education research