379 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD positions in United Kingdom
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benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects available and how to apply, please visit: http://nottingham.ac.uk
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, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase
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established classical protection schemes with data-driven methods, including artificial intelligence and machine learning. The proposed protection strategies are expected to exhibit the following key attributes
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. Where to apply Website https://www.cam.ac.uk/jobs/research-assistantmsca-doctoral-network-phd-students… Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: This is part of your personality: Above-average MA in
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Application deadline: 15/05/2026 Research theme: Biocatalysis How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) and overseas students. The successful
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industrial partners, such as WAAM3D (https://waam3d.com/ ) and members of WAAMMat (https://waammat.com/ ), gaining valuable industry experience and exposure. The student is expected to acquire the following
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR