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the process of obtaining a 1st-cycle undergraduate degree, an engineering technology degree, an architectural technology degree or equivalent. In the case of qualifications obtained overseas, a statement of
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a dynamic and externally funded research program. This role partners closely with faculty, senior research staff, and trainees to develop, submit, and manage complex grant and contract proposals while
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | about 1 month ago
Bioimaging Support: ABiS], where we are responsible for magnetic resonance imaging (MRI) support. Within the ABiS program, we provide support for MRI and MR spectroscopy (MRS) measurements of brain and body
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progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics. About the role
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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and classical computer vision; Develop quantitative features, including color metrics (RGB/HSV/Lab), texture (GLCM, LBP), geometry, and other visual proxies for clinical assessment; and Build image
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to receiving and processing material receipt. Skill for accuracy and speed under pressure and program workday for completion of all assigned functions. Preferred Qualifications Recent experience in a medical
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to script (for example, to automate system administration tasks and processes, tie instruments to storage and computation). - Willingness to learn and adapt to changing needs and scope of work. - Knowledge
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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and civil infrastructure. We have also identified strengths in computational engineering and intelligent systems, with core competencies in autonomous systems, sensing and instrumentation, which bridge