451 parallel-and-distributed-computing-"Meta" "Meta" PhD scholarships in United Kingdom
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an industry partner you will conduct a series of investigative processes (e.g. systematic reviews, meta-analyses, observational and intervention studies), to evaluate the efficacy and current usage of different
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227453 Is the Job related to staff position within a
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This project will utilise the internationally unique pathogen genomic and associated meta data for all TB cases in the UK, numbering in the tens of thousands over more than a decade. This data set
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public sources, data on the current status of ecological communities in several woodland patches across Wales, encompassing all taxa. The data will comprise species presence and distributions as
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Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer
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evaluating school-based delivery of CBT-T for children and young people with non-underweight eating disorders. The project begins with a systematic review and meta-analysis to synthesise existing evidence on
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About us Primary Supervisor: Dr Rebecca Baggaley Applications are invited for 1 PhD Studentship for students with a Home Fees status, based at the Institute of Health Informatics, UCL
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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can be altered by the dietary addition of plant-based compounds such as tannins, flavonoids or essential oils (Bature et al., 2024). In a recent meta-analysis Belanche et al. (2020) reported
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freshwater fishes, structured around the following objectives: Use the LOC to map the freshwater fish distributions in Madagascar, including threatened, invasive and human food species Create predictive models