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Project Link: PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics | Project Opportunities | PhD | University of Leeds Eligibility: UK/International Funding: School of
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT
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translational research in collaboration with local, national and international partners. The PhD student will study the interaction of A. fumigatus with immune cells and characterise the molecular mechanisms
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background in biology, programming or mathematics is meritorious. Knowledge in medical image processing, image registration, and large-scale analyses of genetic (including Mendelian randomization), protein, or
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real-time during behavioural tasks Integrating virtual reality paradigms with behaviour and imaging to assess decision-making processes Exploring potential therapeutic interventions for NMDA receptor
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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine
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PhD title: Mixed Methods Study of Depression Research Clinics as a means of addressing the primary-secondary care gap in NHS service provision. Principal supervisors: Dr Neil Nixon (School
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MSc/PhD Position at the Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
-of-the-art medical laboratories equipped with high-resolution confocal imaging, a Seahorse analyzer for metabolic profiling, flow sorters and cytometers, an electron microscopy suite with advanced tissue
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) explores the structural and functional neural networks underlying social and emotional processing in aging. We are seeking a motivated and enthusiastic PhD student to join the lab in Fall 2025, to help