422 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Virginia Tech
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, InDesign, Acrobat, etc.). - Experience providing support for meetings and/or events . - Experience with a learning management system (LMS) like Canvas, Blackboard, etc. and/or html . Pay Band 3 Overtime
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pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise
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technologies. This position will build projects that teach tools, technologies, or techniques relevant to the space. The Consultation Lead supports student consultant training projects to completion and acts as
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. This appointment is 30% research, 50% teaching, and 20% Extension. In addition, the successful candidate will contribute to ALCE as a team member in transforming lives through learning, discovery, and engagement
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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of the human impacts of AI, organizational security, employment, and communication in evolving workplaces. Candidates for this position will be expected to teach at the undergraduate and graduate (master’s
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programs in Construction Engineering and Management (ABET-accredited) and Building Construction (ACCE-accredited). The successful candidate will be required to teach 3-4 courses per semester in the School
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demonstrating a solid understanding of academic office operations Familiarity with Banner or similar administrative systems is highly desirable. Experience with or willingness to learn basic web page creation and
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identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees
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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