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Field
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
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. How to apply Our process has 2 stages: First stage, for all interested applicants, with submissions by 30th November 2026 Second stage, only for invited applicants (upon receipt of link to EUCLID
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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the process window for this technique across several materials and to assess the extent to which the patented material properties are realised. To identify the optimal processing conditions, a range of forging
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
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PhD Studentship: Understanding how redox regulation processes facilitate platelet function Platelets are tiny circulating blood cells which prevent bleeding from damaged blood vessels (haemostasis
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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industrial scale powder processing routes have been used for mixed oxide (MOx) fuel manufacture, both approaches rely heavily on milling — typically ball milling — to reduce particle size, mix powders, and
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, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation for independent research and high-quality