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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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should hold a masters and PhD level qualification in a relevant subject (e.g. Bioinformatics, Computational Biology, Computational Systems Biology, Data Science, Biostatistics, Machine Learning
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direct an original and impacting research programme in Geotechnical Engineering, leading your own research projects and developing collaborative initiatives with other members of the Department and College
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working
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1 Oct 2025 Job Information Organisation/Company Imperial College London Department Electrical and Electonic Engineering Research Field Engineering » Electrical engineering Researcher Profile First
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Officer to support
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The Department of Chemical Engineering is seeking a research associate to lead the development of advanced methodologies for large-scale parameter estimation for thermodynamic models based
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, health informatics, computer science or a related subject and experience in data engineering. Strong SQL, Python, or R skills and very comfortable with natural language processing, machine learning