22 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Virginia
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. For more information, visit https://careers.uvahealth.org/us/en/support-staff. This patient focused role is responsible and accountable for various aspects of the patient access experience including but not
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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toward their desired path after high school—from exploring careers to assisting with applications. Learn more about AdviseVA here: https://adviseva.virginia.edu/ AdviseVA considers a variety of
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an ability to learn new information quickly. Job Description: · Recruit, screen, and enroll study participants who meet research criteria for multiple clinical trials. · Obtain informed consent
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for learning, advancement, and specialization in a variety of areas within medical laboratory science. • Work-Life Balance: Enjoy a healthy work-life balance in the vibrant city of Charlottesville, nestled in
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for regulated data environments. Stay current with emerging data engineering and cloud technologies to enhance platform capabilities. Extend ELT architectures to support machine learning workloads. Build feature
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modalities Experience with signal enhancement, machine learning, or data-driven imaging analysis Track record of publications in high-impact scientific journals, conferences or patents. Experience contributing
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package comprising predictive software, data analytics, and machine learning. The candidate will work closely with and report to the Software Architect of the research Center led by Dr. Xinfeng Gao. As a
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development - Nursing Professional Governance Organization (NPGO) supports Shared Governance **Contact:** For questions, contact Health System Talent Recruiter, Ashlyn Trant, at hyf5sf@virginia.edu. **Learn
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heart failure, hypertension, atherosclerosis, stroke, aneurysms, and vascular auto-immune diseases are the most common cause of death and disability in the United States, and account for approximately 30