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of RFC1 disease. In parallel, we will a gene perturbation analysis using the Crispr-I technology in genetically engineered iPSC-derived sensory neurons to further investigate the effect of GWA loci and to
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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 brain. Perform molecular, cellular and histological experiments, including AAV injections, tissue processing, immunostaining and stereological confocal image analysis. Develop and apply image and
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, particularly the strategy-as-practice and process-based research traditions, while engaging closely with AI governance and algorithmic organising. It examines how generative AI is transforming core managerial
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-value metal production. However, its broader industrial adoption is limited by complex process dynamics, limited process understanding, and the lack of reliable control strategies. The PhD will advance
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the psychosocial processes that drive behavioural tipping points; those moments when drivers begin to engage in maladaptive behaviour (e.g. rule-bending, blocking, queue-jumping). The student will also examine
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this challenge, semiconductor manufacturers have introduced dedicated Neural Processing Units (NPUs), significantly enhancing performance and energy efficiency. AMD, for example, integrates a CPU, NPU, and GPU