425 parallel-computing-numerical-methods "Institute of Computer Science" positions at Virginia Tech
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Job Description The Virginia Tech Institute for Advanced Computing (IAC) in Alexandria, Virginia, is seeking a motivated Communications Coordinator to support the IAC’s Director of Marketing and
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of study, and maintain and secure graduate student files. The incumbent also works with the graduate program director on annual departmental graduate program assessments. In addition, this position will
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Virginia Tech invites nominations and applications for the position of the inaugural Executive Director of the Institute for Advanced Computing (IAC) . The Executive Director will serve as the
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Job Description Serves as operational program support for the office of Undergraduate Curriculum, specifically the First-Year Experiences program (FYE). This includes providing general
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transition-metal complexes. The project will involve the reaction development, mechanistic studies, and synthetic applications. The postdoctoral associate will perform parallel reaction condition screening
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minimum of one year eligibility remaining. Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational statistics, i.e., unsupervised and supervised ML methods, incl
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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, GPS-and/or RFID-based tracking); implementing cutting-edge environmental sensors and methods; assisting with data processing and analysis; implementing database management practices; recognizing and
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methods, decoding algorithms, or fault-tolerance and resource estimation. Experience with Python (and ideally Mathematica or other scientific computing tools) is preferred. Overtime Status Exempt: Not
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. The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to further