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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Job Summary The Executive Director Inpatient Imaging Services provides strategic, operational, and financial leadership for UCSF’s inpatient imaging enterprise across all inpatient adult & pediatric
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) the information in your candidate profile as it will transfer to your application. Job Title: Professor Department: Engineering | Electrical and Computer Engineering Tenure faculty (regardless of rank) - persons
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 24 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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, including functional Magnetic Resonance Imaging (fMRI), functional Ultrasound Imaging (fUSi), and computational modelling of emotion-related behaviours. This is a full-time, fixed-term position starting
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. Experience working within a large, complex health care setting. Experience working with electronic health records. Two years' experience in a customer service-oriented position. Basic computer and data entry
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for Personalised Brain Health. Project is carried out within the MAB/IRA programme of the Foundation for Polish Science. The P4Health Centre of Excellence is an interdisciplinary initiative focused on advancing
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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, video analytics, computer vision, pattern recognition, and digital image processing. Applicants must hold a Ph.D. in a relevant computer science discipline and should demonstrate strong academic training