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and dynamic wave propagation, in particular: (i) developing domain decomposition methods, (ii) damage models, (iii) nonlinear mechanics. 2) Validate the model by performing simulations using
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
simulation tool for modelling hydrogen isotope transport in materials. The role is central to enhancing the scientific reliability and benchmarking capacity of FESTIM in support of fusion fuel cycle modelling
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the Laboratory's collective success. The Division of Chemical & Biological Sciences is seeking a Postdoctoral Research Associate with a strong background in quantum chemistry and molecular modeling. The selected
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. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
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. Develop simulation environments and digital twins using tools such as Gazebo, NVIDIA Isaac Sim, or Unity to model the CEA environment as well as robotic perception, navigation, and manipulation tasks
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Psychology, Cognitive Sciences, Modeling and Simulation, Computer Science, Measurement and Statistics, or a related field is required. The candidates must have research experience in one or more areas
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Duties Job Duty Conduct a range of neuroimaging and genomics-based analyses, design and implement computational models, and lead the preparation of manuscripts. Essential Function Yes Percentage of Time 30
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Duties Job Duty Conduct a range of neuroimaging and genomics-based analyses, design and implement computational models, and lead the preparation of manuscripts. Essential Function Yes Percentage of Time 30
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 3 days ago
analysis from liquid xenon test platforms studying ionization readout for future single- and dual-phase detectors Simulations and sensitivity projections for 0𝜈ββ with the XLZD experiment Beyond
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials