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expected to receive a first or upper-second class honours degree in anEngineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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of Edinburgh and will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Ivan Rungger, National
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ecosystem modelling using both field-based and modelled physical and biological data. Collaboration with Centre for the Environment, Fisheries and Aquaculture Science will provide exposure to how science
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
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to UKRI minimum stipend Specified use These studentships are open to all nationalities and will be of interest to students who want to undertake research in mathematical sciences. Tenable period 3.5 years
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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-watch-nz ). Attendance at summer schools, such as the National Centre for Atmospheric Science summer school (ncas.ac.uk/study-with-us/atmospheric-measurement-summer-school ), will provide additional