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Oxford. The post is funded by The Faraday Institution and is fixed term to 30 September 2026. This project addresses the need for process control on electrode fabrication lines for lithium-ion batteries
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ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology
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programmes in wind farm and power transmission system model, analysis, control and optimisation but not limited to data driven monitoring for control and operation. What we are looking for: You must have a
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wind farm and power transmission system model, analysis, control and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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or exhausted under certain circumstances and explore how we can harness the power of antigen-specific T cell responses to treat various human diseases. In this exciting project, we will investigate the self
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particular emphasis on kinetic Monte Carlo approaches, and in software development, including version control (Git or similar). Experience in ab initio methods and specifically calculations of excited
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internal structure, combined with the existence of controllable long-range dipole-dipole interactions, long trap lifetimes and strong coupling to electric and microwave fields. The postholders will be
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the molecular and cellular pathways by which Tregs control epithelial stem cell behaviour and tissue regeneration. Ultimately, this work will provide fundamental insights into immune–stem cell crosstalk and may
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including one or more Levantine Arabic dialects, as well as an excellent command of English. Key duties and responsibilities will include: To support development, documentation and evaluation of a workflow