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with physical-based and machine learning methods in atmospheric science. Proficiency in Linux-based high-performance computing systems, GPU-based programming and prevailing AI tools. Experience in urban
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for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in Electrical and Electronic Engineering, Applied
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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and their communities. Examples of software project applications of CCA researchers include fluid dynamics and plasma simulations, radiative transfer, N-Body & dynamical simulations, GPU & other high
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://www.medschool.umaryland.edu/profiles/Ren-Lei/ Equipment includes a computer cluster with high-end GPUs, and state-of-the-art radiotherapy systems including Varian Truebeam and Edge linacs, multi-vault Proton Therapy machines