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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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Job Description Prof. Debswapna Bhattacharya’s research group in the Department of Computer Science at Virginia Tech (https://people.cs.vt.edu/dbhattacharya/) seeks to recruit multiple postdoctoral
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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
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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
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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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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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and life insurance, Virginia Tech offers employees a robust benefits program. This full range of benefits, services, and competitive salaries are an integral part of the university's total compensation
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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ddRADseq, whole genome sequencing, targeted sequence capture, and other emerging genomic technologies. The successful candidate will participate in all aspects of the research program, including experimental
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characterization. The successful candidate will contribute to an externally funded research program focused on understanding structure-performance relationships in molybdenum-based zeolite catalysts for methane