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++ for wireless system simulation, algorithm development, or experimental validation. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information $65,000 - $75,000, commensurate
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
at the microstructural level and what this means for the interpretation of macromechanical test data. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 5 hours ago
findings in peer-reviewed journals, present at technical conferences, and contribute to proposals and reports for project sponsors. Gain knowledge in developing numerical reservoir simulation models
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. Preference will be given to candidates with a strong background in gravitational wave detection, gravitational wave cosmology, gravitational wave data analysis, and/or numerical relativity simulations
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Stochastic Processes. Expertise in numerical simulations (with Matlab or Python) as well as basic knowledge of neural nets will be valued but not required. Additional Information Applicants must complete
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture approaches, provide a natural bridge between experiment and mechanistic understanding
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Steward Observatory at the University of Arizona invites applications for a Postdoctoral Research Associate position in Numerical Relativity and Relativistic Astrophysics. The successful applicant will work
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, geotechnical laboratory testing, and complementary numerical simulations to improve understanding of soil behavior and geotechnical system performance for infrastructure, energy, and sustainability applications
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific