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our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate will have a strong background in circuit design and experience
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to use the lowest doses of radiation possible to provide the highest-quality image. Required Qualifications Graduate of a formal accredited ultrasound training program in an approved school. Flexibility in
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/hybrid didactic, laboratory instruction, and clinical courses in the Radiologic Technology program. Full-time teaching responsibilities include teaching the equivalent of 15-credit hours per semester
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on biomedical imaging and neural engineering. Areas of interest include (but are not limited to): Biomedical Imaging: advanced MRI methods, functional and structural neuroimaging, optical imaging, molecular and
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with CEST analysis Strong image analysis skills utilizing standard neuroimage analysis tools such as Freesurfer or ANTs Preferred Qualifications MS in Engineering Science with focus on artificial
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our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal candidate will have a strong background in circuit design and
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Torr on linkedin: https://www.linkedin.com/in/philip-torr-freng-frs-1085702/?originalSubdomain=uk Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a
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of courses in image processing, computer vision, XR technologies and biomedical imaging applications, experience as supervisor of engineering and master’s theses, confirmed by at least 20 successfully defended
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and prioritize workload. Minimum Job Qualifications Must be a graduate of a hospital-based and/or an accredited imaging technology program (e.g., MRI, Radiography, Nuclear Medicine). No experience
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19 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire des Composites ThermoStructuraux Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher