89 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" positions at University of Virginia
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customers and associates. Able to communicate effectively over the phone, in person, email, etc. Strong organizational and computer skills. Problem Solving Intuitively able to reason, analyze information, and
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development **Contact:** For questions, contact Health System Talent Recruiter, Ashlyn Trant, at hyf5sf@virginia.edu. **Learn More:** For more information and to apply, visit: - [UVA Health Jobs](https
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information science, and phases and phase transitions in ferroic materials. RESPONSIBILITIES: Design and execute novel in situ and ex situ electron microscopy studies of oxide materials Publish results in high-impact
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. This position will focus on developing and applying novel statistical methods, machine learning approaches, and AI-driven computational tools, with a strong focus on statistical genetics and genomics
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ongoing departmental research projects. The overall goal of this program is for each Fellow to acquire foundational knowledge and principles of study design, conduct, and data analysis; gain exposure
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link <https://hr.virginia.edu/uva-health-internal-traveler-program > MINIMUM REQUIREMENTS Education: Graduate of an accredited nursing program required. Bachelor of Science in Nursing required within 5
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science, computer science, or a related discipline is required by the start date. Candidates should have strong Python and geospatial-data analysis experience, demonstrated independent research ability, and
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: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. The position will remain open
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, interdisciplinary Interconnected Cosmos Initiative (ICI). ICI brings together Astronomy, Physics, Chemistry, Environmental Sciences, Engineering (including Computer Science, Data Science, and Materials Science), and
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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