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Field
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Postdoctoral Fellow Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department
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-performance computing and geochemical modelling to decipher atmospheric CO2 removal mechanisms over geological timescales. The research involves integrating surface process simulations with tectonic frameworks
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ATSDR's mission to protect communities from harmful environmental exposures. You will have a chance to participate with Simulation Science Section (SSS), Toxicology Section (TS), and Geospatial Research
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dynamics (CFD) and/or multi-physics modelling using COMSOL Multiphysics, ANSYS Fluent, or equivalent simulation platforms. Hands-on experience in materials characterisation techniques including
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, embroidery, sewing, and other textile-based fabrication techniques. • Characterize and evaluate electromechanical properties of soft systems. • Use simulation tools for design and modeling
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materials. Perform numerical simulations, design photonic nanostructures, and carry out related experimental measurements. Build and optimize optical setups for characterizing material and device properties
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to an interview, you must bring certified copies of certificates and diplomas upon request. The application must include: Transcripts and diplomas for Bachelor's-, Master's- and PhD degrees CV A copy of the
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coupling systems.; • Develop technical skills in electromagnetic modeling and simulation tools, as well as in energy efficiency optimization algorithms.; • Consolidate the ability to write scientifically and
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for two references (no letters) 4. Copy of doctoral diploma 5. Project description (2–3 pages plus references) 6. Published writing sample (circa 20 pages) Please submit applications by September 13, 2026
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
hemodynamics AI-integrated computational simulation (“digital twins”) Translation of computational methods into clinical cardiovascular practice Advancing precision cardiology through mechanistic modeling