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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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deposition and automated multi-technique characterization. Within the Swiss-Polish innovation project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant
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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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aim to work on the system identification and control of critical processes in and around gravitational wave detectors. We look for candidates that either have a strong system identification and control
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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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organic matter. * Integrate sensor outputs into process control systems (stepper motor-driven coagulant dosing). Desired qualifications: * PhD in Environmental Engineering, Electrical/Computer Engineering
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of the lab. In addition, the position will provide assistance to Dr. Fontanini in management of safety practices, management of controlled substances, maintenance of animal colonies and assistance in
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of the lab. In addition, the position will provide assistance to Dr. Fontanini in management of safety practices, management of controlled substances, maintenance of animal colonies and assistance in