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, including Chemistry, Physics, Materials, and Engineering. Shortlisting is based on written applications (qualifications, aspirations, experience), with final selection via interview focusing on independent
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ultrafast laser pulses on femtosecond timescales. Combining nanofabrication, electromagnetic simulation, and pump–probe laser measurements, the project will explore how 3D geometry, and different materials
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
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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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Transactions 54, 10574-1058 (2025); Applied Physics Letters 126,11110 (2025). Prior experience in computational chemistry is desirable but not necessary. Applicants should have, or expect to achieve, at least a
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performance through physics-driven insulation material design. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered
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using alternative fuels and/or increasing the efficiency of the gas turbines. Additively manufactured materials, could help in increasing the temperature at which GTs will run, with a consequent increase
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in radiation–matter interactions, computational modelling, and materials science, with a strong publication record (h-index 36, i10-index 69). Dr Francesco Fanicchia, Research Area Lead: Material
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits