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of study in the fields of AI/ML, aerodynamics and acoustics, and computational methods. Demonstrated strong written communication skills. Required Experience: N/A Desired Experience: Doctoral degree in
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turbulent flows, and computational methods; Strong written communication skills. Preferred Experience: Expertise in the fields of system identification, modal decompositions, transitional and turbulent flow
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Radiology Research Associate who participates in planning, design, execution, and management of research projects in a research laboratory investigating computational methods and artificial intelligence (AI
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design principles
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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Scholars are expected to lead analyses critical to the species delimitation research program and to take initiative in contributing to the design of investigations into little brown bats and other species
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motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment
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undergraduate and graduate students in research methods and equipment operation; sets up and operates laboratory equipment; monitors research inventory and initiates procurement requests as needed. It is
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Radiology Research Senior Associate who designs, executes and manages research projects investigating computational methods and artificial intelligence (AI) in medical imaging in the Department of Radiology