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in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. • Data Analysis: Process large-scale neural datasets, applying computational tools to model behavioral and neural
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models, analyzing and interpreting experimental data, preparing manuscripts and grant applications, and mentoring trainees within the laboratory. A major component of this position will involve mouse
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relationships in catalytic systems. - Demonstrated experience with agentic AI, including automated data curation, ML model integration, workflow orchestration, or AI-assisted experimental design. - Proven ability
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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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modeling Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Salary will be determined according to NIH guidelines and experience level. Hours per week 40 hours
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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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vivo animal procedures. Responsibilities also include data analysis, report and manuscript preparation. Required Qualifications • PhD in Virology, Viral Immunology, Microbiology or a closely related
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Job Description The Department of Forest Resources and Environmental Conservation at Virginia Tech is hiring a postdoctoral associate. This position will be funded by a newly acquired ESTCP project
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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a