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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co
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. The project will be jointly supervised by Dr Susanne Bornelöv (Biochemistry; https://www.sblab.uk ) and Dr Lukas Westlake (AstraZeneca), and the successful applicant will have the opportunity to work across
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area of power systems with special interest in power system controls, protection, optimization, and AI/ML applications in power and energy systems. Experience with experiments and hardware-in-the-loop is
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Primary supervisor - Dr Neil Hall The rhizosphere – the region of soil and associated microbes directly interacting with plant roots - is an area that is increasingly recognised for its role in
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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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Manufacturing and Process Optimization. Space and Harsh-Environment Materials Multifunctional and Bioinspired Systems. Requirements: Minimum: Ph.D. in Mechanical Engineering, Materials Science, Computer
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chemistry of polyol binders (HTPB) and isocyanates for optimization of formulation (pot life) and product mechanical properties for application in solid rocket propellants. Due to the confidential and
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you eager to work in a multidisciplinary team to improve sleep apnea treatment
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including number theory, dynamical systems, probability theory, equidistribution theory and optimal transport. The aim of the PhD project is to develop a flexible framework based on harmonic analysis to study