356 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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aircraft, utilized for research into thermal management and system health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical
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modelling and dietary data interpretation. You will learn to use Nutritics for nutrient modelling and undertake hands‑on digestion studies using ethically approved masticated food samples. The project also
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-acoustic waves are weak, noisy and broadband. To address these challenges, this project will employ deep-learning techniques for signal denoising and 3D dose reconstruction. The project is in close
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to pay the outstanding fees. The stipend cannot be used for the purposes of funding PhD fees. This scholarship is not available for part-time or distance learning routes. How to apply Application deadline
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reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
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teaching perspective, the successful candidate will have the ability and willingness to teach Public Law/EU Law. The post holder may also be supported to supervise undergraduate students. This post is full
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for personalised healthcare, delivered through health promotion conversations that may otherwise not occur due to NHS capacity pressures. At the same time, enhancing experiential learning, reflective practice, and
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to acquire strong transferable skills (e.g. science communication skills developed by presenting results in group meetings and at national/international research conferences). Applicants should have or expect
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/ masters degree (chemical engineering, chemistry, physics, environmental chemistry / engineering, or similar) Willingness to learn and adapt to new disciplinary areas. Ability to manage and lead independent
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collaborative research environment, with strong links to the NHS, local authorities, and community partners. During the placement, the student will engage with rich cohort data, and learn about the design