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Job Description The Learning Specialist will work with colleagues in Student Athlete Academic Support Services (SAASS) to meet the academic support needs of student-athletes. Specifically
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the future of computing at Virginia Tech through research, teaching, and service. The candidate will teach core courses in computer engineering—such as embedded systems, computer architecture, and network
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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. The successful candidate is expected to work closely with our collaborators, including other postdocs and students. The position will be based full time at Jefferson Lab, Newport News, VA. Note that
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knowledge of healthcare systems, electronic health records, and healthcare data standards are highly desirable. Background of strong expertise in mathematical modelling, optimization, machine learning, AI
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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
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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 university
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. • Proficient communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning
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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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• Interest in continuous learning Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with Experience with a minimum of $50,000 Hours per week 40