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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 12 days ago
comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 days ago
(such as JWST, ALMA, Europa Clipper) and to optimize the science returns of upcoming planetary exploration missions, a comprehensive molecular-level understanding of ice chemistry, spectroscopy, and
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SPECIFICS The College of Information Sciences and Technology (IST), https://ist.psu.edu/ , at Penn State invites applications for the position of its inaugural Quantum Frontiers Postdoctoral Scholar
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Number req26804 Department Sch Mining Engr Mineral Res Department Website Link https://mining.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The School of Mining Engineering
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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– overarching goal of the research program is to define optimal cancer prevention and intervention strategies and match the right therapies to the right patients and to advance precision cancer care with real
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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Army Institute of Research (WRAIR) DoD's premier research enterprise for infectious diseases, brain health, and performance optimization, is offering this Postdoctoral research opportunity to conduct
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quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG, and quantum Monte Carlo. Familiarity with inelastic neutron scattering