44 professor-computer-science-"https:"-"https:"-"https:"-"https:" research jobs at Virginia Tech
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Tech. The individual will report directly to Dr. James Weger-Lucarelli. This position involves cutting-edge research studying cancer biology and developing strategies to treat cancer. Duties will include
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. Candidates will collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science. This full
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Open, Communications Earth & Environment, Computers, Environment and Urban Systems, and Travel Behaviour and Society. His research has been supported by the National Science Foundation, OpenAI, Virginia
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Department of Electrical and Computer Engineering. The Postdoc will particularly participate in the design and development of integrated system-on-chips for wireless sensing, communication, and implantable
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collaborators. Required Qualifications • PhD in neuroscience, physics, computer science, applied mathematics, biomedical engineering, or a related quantitative field. PhD awarded no more than four years prior
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Job Description The Department of Chemical Engineering at Virginia Tech invites applications for a Postdoctoral Associate position in the area of heterogeneous catalysis and operando materials
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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optimize LIFU as a new human brain mapping tool and for translation to clinical therapies in addiction, mental health and pain. Knowledge in basic computer skills, record keeping and experience with human
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computational biology. The successful candidate will have opportunities to interact with scientists across the Department of Entomology, the Fralin Life Sciences Institute, The Invasive Species Collaborative, and
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA