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, researchers and practitioners to enable dual learning and original contributions to both research and practice. We wish to appoint a Policy Engagement Manager and the purpose of the role is threefold
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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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establish a digital route to quantify the segregation behaviour of residual elements at austenite/austenite grain boundaries through atomic-scale simulations, using modern machine learning techniques and in
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sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
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climate change, public health, or social inequality. Supervised by Dr Zhu and Dr Lo, the successful candidate will develop spatially explicit machine learning frameworks and interdisciplinary knowledge
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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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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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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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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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University’s mission to deliver an inclusive, safe, innovative, and digitally enabled learning environment. The Directorate is responsible for shaping, managing, and transforming UEL’s physical estate as an