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-paced, professional environment Maintain excellent standards of cleanliness, food safety, and hygiene Learn, develop, and grow alongside experienced chefs This is a full-time role (36.5 hours per week on
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will have some prior knowledge in deep learning and computer graphics. Subject area: Statistics, AI & Machine Learning, Public Health & Epidemiology
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mechanical design, materials selection, and machining techniques. Key Responsibilities: Apparatus Construction & Modification: Fabricate and alter research and teaching apparatus from verbal instructions
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answering the question ‘Where did you learn of this job?'. The referrer must be noted at time of application to be considered. *Both bonuses are subject to terms and conditions. We consider ourselves to be a
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the question ‘Where did you learn of this job?'. The referrer must be noted at time of application to be considered. Both bonuses are subject to terms and conditions. We consider ourselves to be a university
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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We are looking for a Research Assistant Reporting to Prof Yee-Whye Teh. The post holder will be a member of Oxford Computational Statistics and Machine Learning (OxCSML) with responsibility
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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-holders will be expected to design and teach core and optional undergraduate and postgraduate modules, on the Undergraduate and Postgraduate levels, contributing to our outstanding teaching profile
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning