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once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to August 2028 Closing date: 25th July 2025 Background We are seeking an innovative Research Fellow in Computational Metabolomics
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Full-time: 35 hours per week Fixed-term: 17 months The opportunity: We are looking for an exceptionally talented and motivated data scientist to take up a fully funded position as a Postdoctoral
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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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will make one discovery-scientist post. You will have a track record working on normal breast tissue in vitro modelling and already have an established network of local collaborators, including clinical
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globally-operating research group is embedded in a vibrant community of world-renowned scientists in the fields of genome biology, cancer research and microbiology. We believe in interdisciplinarity and we
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hydrodynamic researchers, coastal engineers, marine scientists and experimentalists. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk
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Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models Applying hybrid modelling approaches to limited data
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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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to system-level prototyping, validation, and real-world deployment of endoscopic tools. • Collaborate with clinicians and life scientists on biological use-cases including tumour elasticity and biopsy probes
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to teaching activities and provide support to PhD students and research assistants in the programme. You may be a great fit if: You are a skilled statistician with a PhD in statistics, applied mathematics, or a