414 computing-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" PhD positions in United Kingdom
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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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computer scientists to design paradigms that compare "active" learning (standard VR) against "proprioceptive" learning (haptically guided movement), measuring outcomes such as path efficiency, force
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . We are looking for a motivated and intellectually curious researcher with: A first-class or strong upper
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Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. We seek to enrol the most
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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scientists. This PhD studentship is the foundational computational element (WP1) proposed for a major 8-year project ("The Self-Driving Microscope”). The project’s goal is to build an autonomous, AI-piloted X
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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from dairy housing environments, linking acoustic patterns to behavioural and health indicators, and developing computational models capable of detecting meaningful welfare-related signals. The project