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Field
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to develop and refine integrated hydrodynamic models that simulate circulation dynamics within estuaries along Florida's west coast. Design and implement models to incorporate physical, biological, and
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 17 hours 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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, wave propagation simulation, or other modeling tools used in materials and NDE research Knowledge of data acquisition, signal processing, and automation tools used in smart manufacturing environments
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scientific programs with a strong focus on Electroweak and Beyond the Standard Model physics. Participation in the development and performance of physics and detector simulations for high-energy and nuclear
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days 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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. 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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oscillators driven by the storage-ring RF signals to fulfill the function of manipulating X-ray pulses. More specific responsibilities include MEMS design and simulation, testing and characterization
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at advancing hydrology and water quality assessment across Florida. In this role, you will contribute to the development of a comprehensive watershed system model that simulates both natural processes and human
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the project goals. The successful candidate will be working closely with the project PI’s to generate and test hypotheses, develop and run model simulations, and report findings through presentations
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science