410 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Virginia Tech
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, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees
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information; use computer applications; develop and implement evaluation plans; recruit, train and utilize volunteers, enabling them to plan, conduct, evaluate and report educational activities; provide
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. Required Qualifications -Must be responsible, dependable, and punctual. -Demonstrated computer proficiency in office applications, such as Microsoft Office. -Must be able to work independently with minimal
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computer programs and software. Pay Band 3 Overtime Status Non-Exempt: Eligible for overtime Appointment Type Regular Salary Information Commensurate with experience Hours per week 40 Review Date January 12
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be the lead for an advanced manufacturing experiential learning and research space in our new Mitchell Hall which is currently under construction on the Virginia Tech campus. This will include training
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, which aims to cultivate the next generation of national security leaders by developing and executing research and experiential learning opportunities to engage students. The Intelligent Systems Division
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Job Description About Virginia Tech: Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the
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in adverse weather and field conditions. 6. Valid Drivers’ License, and ability to pass background checks to work on military installations required. 7. Experience with Microsoft products (Excel, Word
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weather and field conditions. 6. Valid Drivers’ License, and ability to pass background checks to work on military installations required. 7. Experience with Microsoft products (Excel, Word, Access) Global
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origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation