441 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" Postdoctoral research jobs in United Kingdom
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, Engineering, or a related discipline, with strong programming experience (e.g., Python, JavaScript, MATLAB) and proven capability in developing interactive visualisations or interfaces. You will demonstrate
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combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection of engineering, data science and industry
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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. Information about our Department can be found at: https://www.royalholloway.ac.uk/research-and-teaching/departments-and-schools/psychology/ . Please apply via the ‘Apply’ button above. Please quote the
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Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID: 183240. Candidates who wish to be considered for both positions will need to apply for both posts. The successful candidate
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Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID: 183243. Candidates who wish to be considered for both positions will need to apply for both posts. The successful candidate
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Lincoln, and everything that we have to offer, at: https://www.lincoln.ac.uk/jobopportunities/ We strive for a diverse workforce with the very best employees and are committed to creating an inclusive
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advertising a similar Postdoctoral Research Associate in Stochastic Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID:183240. Candidates who wish to be considered for both
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are also advertising a similar Postdoctoral Research Associate in Stochastic Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID: 183243 . Candidates who wish to be considered
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through semi-artificial photosynthesis. A biotechnological platform will be developed that incorporates efficient light harvesting by semiconductors to drive engineered live cells to convert carbon dioxide