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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
postdoctoral research associate in the area of thermal-fluid sciences and machine learning (ML). The lab conducts research to advance fundamental thermal-fluid, interface, and data sciences, and apply them
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pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon thereafter as possible. The position is for one year, with the possibility of renewal for two
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
postdoctoral research associate in the area of experimental heat transfer and interfacial phenomena. The lab conducts research to advance fundamental thermal-fluid, interface, and data sciences, and apply them
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"signal" presented to observing spacecraft. Each of these domains are interconnected by flows of heat, fluid, and chemicals. It is for this reason that our study will implement a "systems-level" approach
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transect (Paris Basin to Aquitaine Basin), incorporating constraints from topography, heat flow, gravity, geoid, seismic velocities, and recent mafic volcanic rocks (<10 Ma) as proxies for the mantle's
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linear stability analysis of 3D flow in rectangular channels Knowledge of ANSYS FLUENT and/or OPEN Foam CFD codes, Python, Paraview, … Extensive experience in programming A knowledge of complex fluid
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postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Greicius lab at Stanford University seeks a motivated postdoctoral fellow to join its
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in reactive systems Use modeling tools such as computational fluid dynamics
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, stochastic differential equations, computational methods in fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned
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enabling automated extraction of morphological features (e.g., porosity, tortuosity, connectivity) and fluid flow characteristics from X-ray and electron images integration of motion analysis and digital