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Application Deadline: Applications accepted all year round How to apply: https://uom.link/pgr-apply-2526 UK Only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful
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adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballots using the STV method. Our first point of
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behaviour. However, most existing multimodal AI systems depend on large, computationally intensive models that are difficult to deploy in settings with limited resources. This PhD project explores a different
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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PhD Studentship: ENACT: ENvironment-Aware Communication modes between Things Next-generation wireless and non-terrestrial networks will rely on intelligent electromagnetic environments capable
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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Aim: To predict the rate of hair loss or recovery in people with alopecia using computer vision and Artificial Intelligence (AI) algorithms. Objectives: Automate the hair segmentation process and
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. Expect close collaboration with industrial experts and the opportunity to see your algorithms influence aerospace and other high-value manufacturing sectors. Funding and eligibility 3-year, full-time PhD
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. Expect close collaboration with industrial experts and the opportunity to see your algorithms influence aerospace and other high-value manufacturing sectors. Funding and eligibility 3-year, full-time PhD