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, 2022 ( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock
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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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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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pathogenesis. The candidates will utilize both in vitro and in vivo model systems to investigate how hepatitis E virus invades the central and peripheral nervous systems to cause neurological injuries leading
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the following two research directions: - Electrochemical CO2 reduction: electrocatalyst development; flow reactor design; integrated CO2 capture and reduction. - Electrochemical NOx reduction and building C-N
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experimental methods for Hypersonic testing facilities • Expertise in one or more optical diagnostics methods for high speed flows • Experience with Hypersonic CFD codes, such as US3D • Proficiency in LabView
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application with owners and their pets; a robust comprehension of animal sheltering and One Welfare research; and awareness of current issues in the fields of animal sheltering and pet ownership, particularly
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for this position/research statement; current curriculum vitae; and the names of three references. Also please arrange to have three letters of recommendation sent directly to Prof. Steven Flammia stf@vt.edu. Review