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congenital cardiovascular magnetic resonance imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering
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to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members
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physicists and engineers, and alongside clinical partners at Sheffield Teaching Hospitals and Sheffield Children’s Hospital. Main duties and responsibilities Develop AI-driven analysis and image reconstruction
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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-clamp electrophysiology, quantitative imaging, protein engineering, structural methods (cryo-EM, X-ray, MD modeling), lipid biochemistry, and/or disease models (rodents or organoid/organ-on-chip). Duke
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cornerstone for the application of optics and photonics in a manifold of research and technology fields ranging from optical fiber communications, metrology, environmental and medical sensing and imaging, and
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, engineering and math (STEM) fields — as well as those interested in working on projects across multiple mentors are also strongly encouraged. To receive updates about the application process, please subscribe
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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in English (written and spoken) - Degree in electrical engineering, computer science, or a related field; 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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the field of food science with food processing engineering to improve the processing capability for both research within ARS and the stakeholders in Hawaii. The participant will get to explore the possibility