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Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
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with outstanding interdisciplinary research training within the biosciences, underpinned by transformative technologies. Programme overview You will be recruited directly to a broad, interdisciplinary
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using cutting-edge computational techniques, including machine learning algorithms. Work collaboratively with an interdisciplinary and international team to refine and validate regional wave and ocean
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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Politics PhD Programme. Only then will you be invited to apply for the ESRC funding through the NWSSDTP. The deadline for the NWSSDTP funding application is 2nd February 2026 for the October 2026 programme
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the framework in an industrial testbed and evaluate accuracy and computational performance under realistic load conditions. The student will work closely with Chameleon Technology, the UK market leader in energy
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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to submitting an online application, you will need to contact the project supervisor to discuss. Online applications click the 'Apply' button. Please select Computer Science on the Programme Choice page. You will
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experience. Desirable Attributes Experience working with quantitative and textual data, writing computer code, and/or using existing Digital Humanities tools. The successful candidate will be supported to fill
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, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector. This research will directly contribute to more reliable, cost-effective and