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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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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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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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. 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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, 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
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physics of electromagnetic materials and practical applications in 6G communications. The PhD is 4 years and funded by DSTL (Defence Science and Technology Laboratory), and you will undertake a mixture of
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The successful PhD student will be co-supervised by academics from the Process
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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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conferences and writing peer-reviewed papers. This PhD includes 3-6 months spent at the UK National Physical Laboratory (NPL), for research-led training on inferring CO2 emissions using atmospheric datasets and