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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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approved drugs that target key dysregulated pathways/proteins in virally infected cells. The candidate will also assist with the development of liver and/or brain organoid cultures including iPSC-based
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-based PNT, opportunistic navigation using communication signals, and advanced signal processing and estimation techniques for localization and timing. The postdoctoral associate will work closely with
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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research into Hypersonic phenomenon. This position is based at Virginia Tech's main campus in Blacksburg, VA. Specific tasks include designing and leading wind tunnel experiments into hypersonic phenomenon
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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of positive-strand RNA virus and/or organoid culture systems such as iPSC-based organoids development. Pay Band Faculty Appointment Type Restricted Salary Information Commensurate with experience Review Date 10
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scanning (TLS), throughout hardwood-dominated locations in Virginia, including several Department of War installations and bases and large sections of the George Washington-Jefferson National Forest (2
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development. •Strong background and knowledge in cell-based methodologies. •Strong track record in scientific productivity and publications •Experience and background in managing multiple projects
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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