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Funding providers: Swansea University's Faculty of Science and Engineering and the University of Edinburgh's School of Physics and Astronomy Subject areas: Physics, Mathematics and Computer
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EPCC at the University of Edinburgh is the UK’s leading centre for Supercomputing and Data Analytics. We are seeking a Data Architect to work as technical lead in maximising the capabilities
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at the University of Edinburgh, specifically within the soft matter group. In this post you will experimentally investigate the rheology and microstructure of filled colloidal gels relevant for personal care
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led by Prof Bruce Whitelaw and Dr Tom Burdon at University of Edinburgh (Roslin Institute) and Prof Ramiro Alberio at the University of Nottingham. The team’s expertise in genetic engineering, stem cell
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and Nano Systems at the University of Edinburgh, which is funded by Engineering and Physical Sciences Research Council and in collaboration with colleagues at Universities of Glasgow, Heriot-Watt and
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learning approaches for biological design, and the PDRA will work closely with data scientists at the University of Edinburgh to build predictive models that can accelerate the design of genetic circuits in
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thereafter. This advert might close once a suitable candidate is found. Please apply as soon as possible to avoid disappointment. Further Information: The University of Edinburgh is committed to equality
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Deadline for applications: 15th of April 2024 (or until the position if filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University
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for machine learning approaches for biological design, and the PDRA will work closely with data scientists at the University of Edinburgh to build predictive models that can accelerate the design of genetic
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of Edinburgh and Virginia Tech, funded by Engineering and Physical Sciences Research Council (EPSRC). Therefore, the project will not only forge an experimental framework in understanding the fundamental