414 machine-learning-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Virginia Tech
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. • Excellent communication skills and strong commitment to customer service. • Proactive approach toward learning and understanding of applications and technologies. • Excellent organizational skills and ability
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they learn and grow into the leaders and world-changers of today and tomorrow. We’re currently searching for a Testing Center Assistant to join our Services for Students with Disabilities team in
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to teach life skills to children and families. Programs will include educational activities, contests, and camps in support of the 4-H program with special emphasis on in-school and out-of-school programming
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Job Description Reporting to the Senior Director of Learning Systems in Virginia Tech’s Division of Information Technology, the person filling this position will be an application developer in
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environment -Strong computer literacy skills including fluency with basic office tools (Microsoft Office, Adobe Pro, and Google products), and experience learning new tools and technologies -Experience working
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to learn and apply new ideas and technologies to meet ever-evolving use cases under minimal supervision. Overtime Status Exempt: Not eligible for overtime Appointment Type Regular Salary Information $85,000
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supportive work environment. You will have the opportunity to engage with a diverse range of individuals, learn from experienced professionals, and contribute to the success of both the office and the
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for excellence in teaching across literature and creative writing courses as well as a strong publication record (or potential for such) in literary studies or creative writing. The successful candidate will teach
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concentration in History, Theory and Criticism to teach both in our two research-based, non-professional graduate degrees in architecture, the Master of Science in Architecture program (M.S.Arch) and the Doctoral
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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches