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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch
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will integrate full-field experimental measurements—such as Digital Image Correlation (DIC)—with synthetically generated data and advanced machine-learning techniques to identify physically meaningful
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interactions, and mobility are collected). Machine Learning models will be trained to infer fatigue in real time, triggering adaptive prompts, such as suggesting micro-breaks. Expected outcomes include a sensing
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models (mathematical + software) of existing grid operational practices Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems Developing machine
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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lifecycle. You’ll have a particular focus on employee relations, learning and development, and using data to drive continuous improvement. Your support will empower managers to lead confidently and create
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by a subject matter expert and students are supported through their learning journey by the online faciliatory team of Associate Lecturers. The role of the Associate Lecturer plays a critical role in
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working full-time. We are seeking a Machine Learning (ML) Researcher to advance AI capabilities within DATAMIND TRE and the Mental Health Goals (MHG) Observatory (national infrastructure supporting the UK
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enthusiastic Design and Technology Technician to play a pivotal role in supporting high-quality teaching and learning across Key Stages 3 and 4. The successful candidate will support the practical and technical
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Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and