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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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or computer science is desirable but not required. An interest in interdisciplinary communication and engagement as well as an understanding of how AI is currently deployed in science is welcomed but not essential.
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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of the project's conceptual approach and to the preparation and planning of the research, undertake fieldwork and archival research in the UK and one of the three overseas locations, co-design and plan the sensory
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new strategic plan in place as the basis for the renewal and revitalisation of the School, which commits SOAS to both student responsiveness and research intensity. SOAS is moving towards a new model of
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About the job: The successful candidate will become part of the newly established Future Medicines Institute (FMI) chemistry group, focussed on the synthesis and iterative design of next generation induced proximity therapeutics. The role will include design, planning and delivery small molecule...
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates...
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Robotic-assisted surgery is rapidly expanding in the UK, with over 100,000 procedures performed in 2024 alone. Emerging 5G and future 6G networks are making remote surgery increasingly feasible, allowing surgeons to operate on patients from different locations. However, communication delay...
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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experience in understanding eukaryotic microbial diversity. You will possess sufficient specialist knowledge in the discipline to work within established research programmes. Excellent communication skills