92 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at University of Virginia
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, spanning computational data analysis, community-based participatory research, community needs assessments, partnership-building, and related grant development opportunities. The successful candidate will be
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microscopy techniques, and high-performance computing resources at UVA. We offer a collegial environment, support for career advancement, opportunities to lead teams and collaborations with internationally
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) Experience with electronic medical records, PACS Proficiency in computer/automated systems for data purposes Familiarity with SPSS, R, or other data management and analysis systems PHYSICAL DEMANDS
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information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ . Salary will be commensurate with education and experience
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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eligible for leave or other benefits and 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
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statistical methods, machine learning approaches, and AI-driven computational tools. The Biostatistician will work under the supervision of Dr. Ziqiao Wang and there will be opportunities to collaborate with
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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 through
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if their expertise aligns with either program, or both. GECO Fellows will lead ambitious, independent research programs related to galaxy evolution and cosmology, expected to align with the wide range of research
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance