14 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" scholarships at University of Exeter
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outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational capabilities (e.g. evidencing a 2:1 or higher in relevant
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of light. [1][2] This emerging technology holds enormous potential, offering routes towards new forms of highly parallelised information processing (optical computing), point-of-care diagnostics, next
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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contribute to changes in behaviour, pain neuroscience or the neuroscience of emotional control to apply. Please contact Dr C Lawrenson (c.l.lawrenson2@exeter.ac.uk ) prior to submission to discuss the project
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, computational modelling, or data science. The studentship provides full PhD funding, including tuition fees and a tax-free stipend for the duration of the programme. Please apply via the ‘Apply’ button above.
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samples, alongside expert clinical insights. The supervisory team includes Professor Katie Lunnon, Professor John Paul-Taylor, and Dr Joshua Harvey, who together provide complementary expertise in dementia
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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Funded PhD Studentship in applied geospatial ecology. This project will investigate how dryland vegetation productivity varies across space and time and how it responds to land management. Working with NEOM, one of the world’s largest ecological restoration programmes, the project will develop...
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undergraduate degree (or international equivalent) in Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Management, Computer Science, or a related field. A master's
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, structure, defect chemistry, and ionic transport behaviour. Comprehensive materials characterisation will be undertaken using structural, thermal, and electrochemical techniques, including X-ray diffraction