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learning-assisted methods: data assimilation, uncertainty quantification (UQ), and machine-learning-based moment closure models. · Multiscale modeling: kinetic limits of many-particle dynamical systems
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department has 30 regular faculty members, and has leading research programs in Scientific Computing Methods, Mathematical & Quantum Physics, Environmental & Geophysical Fluid Dynamics, Control & Dynamical
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conceptualize and test a universal data schema to model time-dependent relationships within pharmaceuticals’ dynamical behavior. You will work closely with international experts in crystallography
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learning and expand its safe use in space. This includes, but is not limited to, approaches based on statistical mechanics and thermodynamics of learning, dynamical systems and continuous-time views of