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well as treatment of novel bio-based feedstocks. Trickle bed operations have been studied from many angles, including fluid flow models, chemical kinetics, and mass transfer. Despite these, there is
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novel bio-based feedstocks. Trickle bed operations have been studied from many angles, including fluid flow models, chemical kinetics, and mass transfer. Despite these, there is still a need for dynamic
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programming, GPU programming) Astrophysical fluid dynamics and/or magnetohydrodynamics Radiative transfer in astrophysics Machine learning or data analysis for physical sciences Strong programming
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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-on and multidisciplinary research environment combining experimental surface physics, nanotechnology, microscopy, and fluid dynamics. We do not expect one candidate to already know every technique
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surface physics, nanotechnology, microscopy, and fluid dynamics. We do not expect one candidate to already know every technique used in the project. More important is a strong experimental mindset
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fluid dynamics simulations Combustion Scientific programming, including Fortran Scientific writing and academic publishing Machine learning methods Excellent written and fluent verbal communication