225 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Virginia Tech
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. Required Qualifications •Knowledge of standard office practices and procedures •Strong computer skills to include data entry •Knowledge of programs and office applications •Ability to exercise sound
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administrative support for senior-level searches, and collecting and summarizing data, and providing support for special projects. Every day is different, and the Administrative Assistant will make an impact every
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platform, providing high-quality front-end administration and specialized technical support and consultative services. This position is vital for maintaining platform efficiency, ensuring data governance
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for scouting fields for a research project focused on slug management in soybean. This position is expected to make and maintain legible notebooks on all aspects of the field work, perform data entry
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continuous and secure operations of CNRE’s IT systems, data storage services, and endpoint system monitoring. The incumbent will play a key role in the implementation of services, data integrity
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or experience; previous experience in academic or career advising or engineering work experience; strong computer skills such as electronic file management, word processing, and spreadsheets; experience with
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-Some experience working with data serialization SQL databases -Familiarity with data serialization formats like JSON, XML, protobuf, etc. -Strong work ethic and ability to work independently with
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entries and creating or editing bibliographic records. This role collaborates with faculty and staff in the Data Services unit and subject specialists across VT Libraries. Required Qualifications
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population | Ensuring compliance with policy, procedure, applicable state and federal laws and regulations | Maintaining records and compiling statistical data for effective reporting and tracking | Analyzing
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, economics, planning, and/or infrastructure field(s) to ensure the ability to perform and improve efficiency/effectiveness/efficacy of analysis and methods. Interest in housing programs, policies, and data