414 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions at Virginia Tech
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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
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information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or
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at the AREC. • Computer skills of the level necessary to facilitate record keeping and data management as required for management of the research farm. • Must have a valid driver's license, good driving record
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applications. • Proficiency in general computer skills including use of Microsoft applications such as Outlook, Word, Excel and PowerPoint. • Strong attention to detail. • Excellent organizational, interpersonal
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forest soil health. Preferred Qualifications A record of scholarship and peer-reviewed publications in forest rhizosphere biology with applicability to managed forests. Demonstrated potential to acquire
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, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against
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onboard electronic systems. This engineer may develop software for advanced data acquisition, human/machine interaction, driver simulators, and much more. This position is part of VTTI’s Division of Freight
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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
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information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or
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hardware systems; Assist with packaging seed for variety tests; Collect field data and assist with its entry and processing in a computer database; and Grade soybean seed samples for quality and disease