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aberration in a cellular context. This project will equip the student with a broad range of laboratory and bioinformatic skills relevant to cancer genomics. Number of awards: 1 Start date: September 2026 Award
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criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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process. Funded projects registered at Roehampton University (deadline 31/03/2026). Please contact the named supervisor below for further details. Sacred waters: faith and folk traditions and their role in
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Faye Ritchie (faye.ritchie@adas.co.uk ), placement to gain work experience with the agricultural industry Entry requirements Essential BSc in Biological Sciences, Biochemistry, Bioinformatics, Genetics
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and reduce performance. At the same time, recycled alloys are often more susceptible to solidification defects during processing. This PhD project will investigate the interplay between grain refinement
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. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools
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high pressures. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non
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regeneration, resulting in significant energy penalties and limited operational flexibility. This project proposes a novel biomass-based negative emissions process that leverages the reversible CaO/CaCO
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize