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OF RESPONSIBILITY Understand the problems of the Turing’s partners and develop appropriate approaches. Perform experiments and develop capabilities, which might include: building and deploying machine learning models
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experience in cosmological simulations, analysis of cosmic microwave background and/or large-scale structure datasets, machine learning methods applied to cosmology, or theoretical modelling of cosmological
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the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together
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. Current XAI methods are often generic and overlook industrial realities. This project will embed user-centric explanations directly into machine learning workflows using structured, ontology-driven
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a lead in advising and delivering on space planning initiatives and project development across our student’s teaching and learning spaces and in places of work for our staff. Undertaking spot space
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of emerging methods in metabolic analysis, metabolic modelling, machine learning, and data-driven biology, identifying opportunities to apply new tools to accelerate discovery. Work closely with experimental
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The accuracy and precision of opto-electronic 3D motion capture systems created a global shift towards lab-based biomechanical analysis over the last 30 years. With the advent of AI and machine
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discussion about the role, please contact Laima Machin, Campus Experience Team Leader on lm857@bath.ac.uk or Calum Lloyd, City Experience Team Leader on cl2029@bath.ac.uk , however please ensure that you
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online degree portfolio, you’ll help manage and improve the accessibility of video content to create inclusive learning experience. You will also support continued improvements to our digital delivery
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Microsoft Software (e.g. Word, PowerPoint), a virtual learning environment (e.g. Moodle, Blackboard) and video conferencing software – we use Microsoft Teams. You must be fluent in English, both written and