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research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics
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of practice parameters, imaging techniques, cross-sectional anatomy, principles of electromagnetic and computer sciences, patient care/positioning, and MR safety requirements. Skills / Knowledge / Abilities MRI
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who is also skilled in bioinformatics, image analysis, and machine learning. You’ll be part of a dynamic, supportive, and forward-thinking research environment committed to making real clinical impact
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Position Announcement Utah Valley University is seeking a motivated, part-time Technician to provide crucial support for our computer labs and classroom technology. This position involves ensuring
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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of experience) Responsibilities: Lead and contribute to image analytics, large language models, and tabular data machine learning projects from inception to completion Develop, implement, and optimize machine
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and machine learning applications, with an emphasis on strongly correlated condensed matter systems. This position will be for 3 months Essential Duties and Responsibilities Develop a prototype neural
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interfaces with imaging platforms. Operation of ARTIS Pheno hybrid IR and Vascular imaging rooms. Able to produce and modify quality post operative imaging and be able to identify appropriate anatomy
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) for imaging. A single-step, machine-learning based approach is then applied to automatically reconstruct the brain circuit. We have demonstrated that LICONN enables rapid data acquisition, quantitative
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collaborative environment. Displays competent knowledge of ocular anatomy, function, and motility. Identifies imaging instruments and modalities based on diagnosis. Knowledgeable in computer software for all