425 parallel-computing-numerical-methods "Institute of Computer Science" positions at Virginia Tech
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Job Description The Research Associate conducts research under the supervision of the Principal Investigator and senior project staff, applying both standard and non-standard methods appropriate
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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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from conception to completion. Projects are valued up to $3 million, vary in difficulty and complexity, and utilize a variety of contracting methods. The Project Manager will represent Virginia Tech
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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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experience in a biological field or pest management; Experience using the scientific method in research design and field research experience; Strong computer skills and ability to maintain a basic website
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and some laboratory analytical methods to support viticulture and grape pathology programs. Primary responsibilities include providing technical support for viticulture and grape pathology research and
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results, and recommending improvements to testing methods and workflows. The Technician may guide the work of others and play a key role in ensuring projects are completed efficiently, accurately, and
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-vivo research projects. The lab is currently employing advanced quantitative methods to conduct leading-edge research on the role of neurotransmitters (dopamine, serotonin, and norepinephrine) in
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and in-vivo research projects. We currently employ advanced quantitative methods to conduct leading-edge research on the role of neurotransmitters (acetylcholine, dopamine, serotonin, and norepinephrine
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program focused on the evolutionary ecology and management of invasive species. The successful candidate will coordinate and mentor a team of undergraduate researchers by overseeing onboarding, scheduling