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components. Perform laboratory experiments on fluid/thermal components, Publish papers in heat and mass transfer and energy journals. . Basic Qualifications Must be a recent PhD graduate within the last three
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using appropriate numerical analysis tools to model system contact mechanics, fluid mechanics, thermal transport, and electric field interaction. Mentor graduate and undergraduate students in related
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of neurodegeneration. The WashU School of Medicine is renowned for its research cohorts of neurodegenerative disorders, which include clinical, neuropathology, neuroimaging, and fluid biomarker phenotypes. Recent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
, biomarkers distribution in blood or synovial fluid) as well as histological evaluation of multiple tissues (cartilage, bone, synovium, muscles), protein/gene expression analyses in isolated tissues (cartilage
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: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment (e.g. Python, Fortran, Matlab, C
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envelopes and HVAC systems such as heat pumps • Develop, design, and analyze new HVAC processes and components • Perform laboratory experiments on materials and fluid/thermal components at NREL’s laboratories
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coronary artery stents, and structural heart interventions. CORE FUNCTIONS Some of the main duties include, design, conduct, and analyze solid mechanical simulations and computational fluid dynamics studies
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Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks postdoctoral scientists or research scientists for research and development activities focused
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relying on optical measurement techniques for fluid mechanics, such as particle image or particle tracking velocimetry. Work with graduate and undergraduate students to fabricate and test prototypes, using
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and model vadose fluid transport in the deep vadose zone (10s to >100 m depth) in California's Central Valley. The research will focus on the use of geophysical tools to parameterize and validate