616 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Virginia
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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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or equivalent combination of education and experience. 4+ years of related experience. Preferred Qualifications For Assistant Director Individual contributor with experience in relationship and program management
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an excellent candidate experience. For more information on the Executive Search Group visit https://executivesearch.virginia.edu/ . The Role UVA’s Executive Search Group is seeking a Recruiting Associate (RA) to
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program changes and refinements. We have a culture that values and seeks new information towards continuous improvement. In collaboration with the director, the assistant director will establish and
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regulatory requirements. Research administrators work with faculty, staff, and external partners to support successful program execution and foster collaborations. Support internal faculty and PRS hiring
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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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is limited to 1500 hours of work in a year. For more information, refer to the Wage Employment link: http://uvapolicy.virginia.edu/policy/HRM-029 To apply, please submit an application online at https
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departments, research areas, and/or partner institutions (e.g., NRAO), in which case an interdisciplinary mentoring team will be assembled to best match the proposed research program. Projects may be
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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 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