577 data "https:" "https:" "https:" "https:" "Stanford University" PhD positions in United Kingdom
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, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can
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of adolescent mental health, social inequalities, epidemiology, and data science. The student will be embedded within a vibrant interdisciplinary research environment at the University of Bradford, working
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, computational modelling, or data science. The studentship provides full PhD funding, including tuition fees and a tax-free stipend for the duration of the programme. Please apply via the ‘Apply’ button above.
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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of macrosopic quantum coherence in levitated solidstate platforms. Our Team is part of the Quantum Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member of the Vienna
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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Vincent Hiribarren vincent.hiribarren@kcl.ac.uk at Department of History to discuss their research interests and proposals before submitting their applications . For information on History Research
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variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution of rare non‑coding regulatory variants, including those in enhancers, promoters
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited