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Field
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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suite of 3D numerical simulations of the thermochemical evolution of Mercury that integrate a new melting model with realistic assumptions regarding the mantle rheology. The models will be constrained
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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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, the postdoc can be involved in the following research area if interest arises: numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. HCF fabrication will be carried out
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for computer simulations, and conduct theoretical research to submit proposals to the ongoing study or work items, with a view towards patenting and possible inclusion into the future Releases Perform research
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algorithms, error correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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. Key responsibilities include: Simulating regional air quality using numerical models (e.g., WRF-Chem, CMAQ) Improving wildfire emission estimates and smoke plume rise representation Evaluating model
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, aerodynamic, and aeroelastic testing. Develop and apply advanced numerical models (e.g., FEA, CFD) to simulate wind effects on structures. Analyze and interpret experimental and numerical data, and disseminate
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characterisation systems, vacuum beamlines, high-pressure gas cells, and optical diagnostics. Our numerical simulations rely on our own open-source code, Luna.jl (https://github.com/LupoLab/Luna.jl ). More details