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to determine both AGN activity and star formation directly from survey imaging data, bypassing traditional catalogue-based analyses. The project is funded by the Science and Technology Facilities Council (STFC
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accumulation can be limited, we can engineer bacteria to become more solvent-tolerant and thereby generate higher yields of useful products [2]. The project supervisory team comprises Tim Overton (microbial
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, working alongside leading academics, researchers, project engineers and fellow PhD candidates. The group takes a holistic approach to metallic materials, examining the fundamentals and how they influence
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-convex optimisation, performance analysis, machine learning, etc.) 1) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering
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research group drawn from a range of backgrounds including chemistry, molecular biology and chemical engineering. They will receive a broad scientific training across these areas, as appropriate
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or equivalent in a subject relevant to the proposed PhD project, including chemistry, materials science, engineering, physics or a related field. The studentship covers fees at the Home rate (UK and EU applicants
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growing threat to aquatic environments, while increasingly stringent phosphorus discharge limits are placing pressure on wastewater management systems. The project will investigate the use of engineered
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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Hours of work: Part-time / 0.5 FTE Tenure: Fixed term for 12 months This is an exciting opportunity to contribute to a collaborative Engineering and Physical Sciences Research Council (EPSRC)-funded
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include doped oxides or composites engineered to enhance ionic mobility while suppressing electronic conductivity. A key objective will be to understand the relationships between chemical composition