517 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Virginia
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customers and associates. Able to communicate effectively over the phone, in person, email, etc. Strong organizational and computer skills. Problem Solving Intuitively able to reason, analyze information, and
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candidate must have an interest in learning about the controls trade, helping with pulling and landing small voltage wires, and with the termination of wires on the new control valves. Ideal Candidate will be
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The University of Virginia's School of Education and Human Development seeks qualified applicants for the Department of Human Services to teach and provide content expertise for programs in
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The University of Virginia's School of Education and Human Development seeks qualified applicants for the Department of Human Services to teach and provide content expertise for programs in Youth
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the Wage Employment link: http://uvapolicy.virginia.edu/policy/HRM-029 To apply, please submit an application online through Workday at https://jobs.virginia.edu and attach a current CV/Resume. Search
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online at http://jobs.virginia.edu/us/en/job/R0079426/Senior-Electrician . Internal applicants may search and apply for jobs on the UVA Internal Careers website . Complete the application, and upload
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modalities Experience with signal enhancement, machine learning, or data-driven imaging analysis Track record of publications in high-impact scientific journals, conferences or patents. Experience contributing
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This posting is for NurseMatch candidates ONLY. Please visit https://careers.uvahealth.org/us/en/ to review our current career opportunities. Capable clinician, focused on expanding knowledge and
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. Employee will work with materials of different weights and perform repetitive motions. To Apply: Apply online at http://jobs.virginia.edu/us/en/job/R0078379/BAS-Application-Engineer . Internal applicants may
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learning support, etc. Actively refer “treasure” conversations to the Director of Development. Establish alumni chapters in cities with high alumni volume and explore the creation of alumni affinity groups