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Field
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vulnerable to hardware-level threats, including side-channel attacks, fault injections, etc., particularly when optimized for performance. This Research Fellow position focuses on AI security in the context
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optimization of GRAS microorganisms at 1-10 L fermentation scale. ii. Design and optimise downstream bioprocessing for protein recovery. iii. Perform characterization of protein isolates for incorporation
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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clinical guidelines, ensuring clinical effectiveness to optimize athlete performance. Provide medical support for Women’s Rugby weekly training sessions on and off the field. Provide pre-game and in game
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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clinical guidelines, ensuring clinical effectiveness to optimize athlete performance. Provide medical support for Women’s Rugby weekly training sessions on and off the field. Provide pre-game and in game
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head of the Fellowship. The postholder will provide administrative assistance for the colleagues in the Master’s and President’s Office, in order to ensure the optimal operation of the department
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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the thermo-fluid dynamics of our heat exchangers and the complex adsorption/desorption phenomena within our reactors. Your work will be crucial for identifying system bottlenecks, optimizing performance, and
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to trial protocols and Good Clinical Practice. Work closely with other research nurses and practitioners in the delivery team to ensure optimal care and support for trial participants in our research