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Job Description The Bradley Department of Electrical and Computer Engineering is looking for a person to teach the practical aspects of undergraduate electrical and computer engineering, primarily
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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advising, international programs, and experiential learning opportunities by coordinating the department’s participation in the Bridge Experience program [https://xl.vt.edu/programs-and-opportunities/bridge
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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, genomic datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding
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, the postdoctoral associate will help to coordinate evidence-based learning networks of NPS units and other educational organizations to (1) direct data collection and conduct research on their programs and
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and networking, with a particular focus on 5G and Beyond 5G technologies and applications of artificial intelligence and machine learning to wireless systems. The candidate will oversee the design and
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statistics, theoretical statistics; there is also opportunity to teach in VT’s computational modeling and data analytics program. Department management will make specific teaching assignments each semester