220 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" uni jobs at Virginia Tech
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of hire. • Completion of an approved ACVIM-ECVIM-CA Oncology residency program by the date of hire. • Excellent communication and interpersonal skills. • Eligibility for a Virginia faculty veterinary
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of Advanced Computing (Alexandria, VA) and other university research institutes. The successful candidate will be expected to develop and maintain a nationally recognized funded research program, teach
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the date of hire. • Completion of an approved American College of Veterinary Radiology (ACVR) or European College of Veterinary Diagnostic Imaging (ECVDI) residency program by the date of hire. • Eligibility
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related master's degree, active progress towards completing a master's degree, or an active plan to obtain a master's degree or possess an equivalent level of training and or experience. Proficient in
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general direction. As a Enterprise Integration Developer, you will: ● Design, develop and maintain API, Database, and File integrations within the Boomi platform in support of the University’s ERP and
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for existing data analytic models. When necessary, be responsible for development of new computational methods and work with programmers to incorporate these methods into current models based on systematic
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/mentor/provide training and coordinate the work of graduate research assistants, technicians, and others who assist in specific assignments. Required Qualifications • M.S. degree in Computer
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Job Description These are non-student positions are not available to Virginia Tech students. Students, please refer to the Center for the Arts website for student hiring information: https
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involves conducting research at the intersection of program analysis and formal verification toward developing trustworthy tools for reasoning about safety and security properties. Opportunities exist
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in Hall C. If the candidate has experience with data analysis in the GlueX collaboration, we will consider the possibility to analyze data in support to the Generalized Parton Distributions program