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. The CT Technologist will be responsible for providing quality diagnostic imaging for medical interpretation. Duties will include operating CT equipment, handling patients, post-processing of images
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. The CT Technologist will be responsible for providing quality diagnostic imaging for medical interpretation. Duties will include operating CT equipment, handling patients, post-processing of images
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degree and one year of customer experience, equivalent education and experience considered. Must have computer proficiency in office applications. Strong written and verbal communication skills. Preferred
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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Assistant, Associate or Full Professor without tenure, UW Pediatric Cardiology, non invasive imaging
invasive imaging Position Details Position Description The Department of Pediatrics at the University of Washington is seeking a non tenured faculty position as full time Assistant, Associate, or full
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imaging, in vivo electrophysiology, animal behavior experiments, animal surgery, computational modeling of animal behaviors, or computational modeling of neural dynamics. Some programming skills for data
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. Maintain up to date and adequate inventory of supplies in pharmacy and surgical suites. Use computer effectively as a means of communication. The hours for this position are typically 9a-5p, but times may
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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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experience with both standard neuropsychological and basic science behavioral testing strong computer programming experience (MATLAB, or python) familiarity with diffusion imaging analysis methods This is a
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process