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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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, and flow cytometry. You’ll work closely with other members of the lab to analyse data, interpret results, and contribute to ongoing publications. You will also be responsible for maintaining accurate
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EPSRC as part of a £160 million investment in quantum technologies. More information on QuSIT can be found at www.qusit.org . The successful applicant will be embedded in a vibrant, multidisciplinary
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Supervisor: Dr Stuart Wagland How to apply For further information please contact: Name: Dr Stuart Wagland Email: s.t.wagland@cranfield.ac.uk Phone: +44 1234 75 4298 If you are eligible to apply, please
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correlation structures across data modalities that relate to outcomes such as survival and treatment response. Validation & Benchmarking: Apply the framework across cancer types, evaluating various foundation
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative interdisciplinary research environment is
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
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opportunities. How to apply For further information please contact: Name: Dr Andrea Momblanch If you are eligible to apply for this research studentship, please complete the online application form . Please note