52 parallel-computing-numerical-methods "Institute of Computer Science" research jobs at Virginia Tech
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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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. 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
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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computational background. • Proficiency in spike train analysis and neural decoding methods. • Advanced programming skills in MATLAB, Python, or R. • Experience with surgical procedures and in vivo recording
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– Coordinating with and assisting the PI in the design of experiment and grant proposal methodology as well as methods for analyzing the results of experiments. 2. Research Publications – Preparation of text
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Dr. Adam Coates and includes Drs. Carrie Fearer, Verl Emrick, and Mark Ford as Co-PIs. Goals for this project include: (1) Inventory of fuels, using traditional transect methods and terrestrial laser
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) Skilled in troubleshooting and maintaining air sampling pumps (3) Background in aerosol science, including sampling, analysis, and related laboratory methods Pay Band 3 Overtime Status Non-Exempt: Eligible
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and/or development of computational and methodological tools for network neuroscience. The candidate is expected to contribute to publications, collaborate with other lab members and external