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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics
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Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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Survey 4th Supervisor: Professor Odipo Osano, University of Eldoret Applications are invited for a 3.5 years PhD studentship. The studentship will start on 01 October 2026 Project Description Background
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PhD Studentship - Process Industries: Net Zero - Optimisation bio-methanol production from high-moisture feedstock Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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, to support the experimental activity. The candidate will be joining a multidisciplinary team in a lab where we design, make and validate materials and structures. This PhD will expose the successful candidate