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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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Full-time - 35 Hours Per Week Contract Type - Fixed-Term - 2 years The Opportunity: A postdoctoral research fellow position is available in Dr. Kathryn Bowles’ lab at the University of Edinburgh UK
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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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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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Fixed term, Guaranteed hours contract: 100 hours The Opportunity: We are looking for a Teaching Fellow in International Law to deliver a 3-week intensive course to a group of visiting international students. The successful candidate will be a graduate with relevant teaching experience and, have...
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Deadline: 6th of May (or until the position is filled) One fully funded PhD position to work with Dr. Susan Lechelt and Prof. Ewa Luger in the School of Informatics at the University of Edinburgh
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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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London weighting of £1,000 plus CDP maintenance payment and V&A travel expenses. The University of Edinburgh and the Victoria and Albert Museum, London (V&A) are pleased to announce the availability of a
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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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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