17 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions at University of Exeter
Sort by
Refine Your Search
-
geolocated social media data, and computational techniques from network science and machine learning. It is interdisciplinary, combining theories of healthy and accessible cities with computational data
-
Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
-
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
-
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
-
, 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.
-
network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
-
The University of Exeter’s Department of Clinical and Biomedical Sciences is inviting applications for a PhD studentship funded by Diabetes UK to commence on 21 September 2026 or as soon as possible
-
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
-
regulatory obligations. Hydraulic simulators are physically detailed but computationally slow and calibration-intensive, limiting large-scale scenario exploration and optimisation. Purely data-driven
-
, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can