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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i
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effects using MRI in the exciting and emerging field of psychedelic medicine (https://adaptroadmap.org). The other half of this position will focus on imaging and behavioral studies of populations at risk
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of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and directions in collaboration with mentors in the department. Communicate research progress, challenges
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visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination Because we want you to feel seen and valued, our recruitment process at UC Davis supports openness and authenticity. Research shows that some
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
competency checklist Preferred Qualifications Advanced training in computer-based image management systems Familiarity with advanced echocardiographic imaging and intracardiac procedures performed in
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Computer Technician Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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responsible for delivering and coordinating the Aortic Stenosis (AS) arm of a prospective clinical imaging research study. The post-holder will oversee the day-to-day running of the patient pathway from
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enterprise and are within the top 1% of universities worldwide. Apply to be part of a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences