14 pattern-recognition "https:" "CMU Portugal Program FCT" PhD positions at University of Exeter
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but mighty. Working together with QinetiQ towards immediate real-world applications, you’ll design and create intricate nanoscale geometries and combine common materials in new ways to make miniaturised
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jointly learn from images and text, most current systems are still limited in three important ways: they primarily rely on statistical pattern recognition rather than structured clinical reasoning
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of plasma deposition systems, in collaboration with Oxford Instruments. Low-temperature plasmas play a critical role in advanced manufacturing, yet their design and control remain challenging. This project
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interests, whether you prefer system-level analysis, control design, simulation-based investigation, or a combination of these. The specific research direction will be developed in collaboration with
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challenges. Supervisor information: https://experts.exeter.ac.uk/41651-tarje-nissenmeyer https://experts.exeter.ac.uk/41625-george-datseris Ready to bridge mathematical sciences with complex ecosystems and
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performance behaviour and QoS metrics specifically for AEC systems. Models will analyse key features such as 3D mobility patterns, bursty traffic arrivals, and the dynamics of aerial-to-ground wireless
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humidity ranges. By exploiting advances in materials design, it is possible to tailor ionic transport properties while maintaining structural integrity under demanding electrochemical environments
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health record data, mixed-effects models will be employed to quantify the extent of variation between general practices and individual clinicians. Temporal analyses will assess how these patterns change
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is small but mighty. Working together with Leonardo UK towards immediate real-world applications in an operational environment, you’ll design and create intricate nanoscale geometries and combine
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approaches are faster but can produce opaque decisions and amplify inequities if trained on historically biased patterns or narrow objectives. There is therefore a clear methodological gap: the absence of a