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Field
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: - Comprehensive understanding of applied computational materials science, including electronic structure methods and molecular dynamics. - Experience with High-Performance Computing (HPC) systems and intelligent
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math, HPC, signal processing, computational physics and materials science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of
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Supercomputing Centre (BSC-CNS), and in coordination with the developers of the other MaX flagship codes, a shell of leading European HPC centres, and selected European private-sector technological partners
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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
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with the ability to meet deadlines and produce publishable research. Experience with deep learning applications in seismology, using high performance computing (HPC) environments, field experience with
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exceed 15% of gross income. Access to state-of-the-art facilities and resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international
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environment, ideally tailored to an HPC infrastructure Multivariate statistics Containerized workflows and DSLs, e.g.: Nextflow, SnakeMake, Familiarity with deep learning libraries like TensorFlow and Pytorch
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experience in, for example, C, C++, MATLAB, or Julia would be a plus Data visualisation Bash scripting in a Linux environment, ideally tailored to an HPC infrastructure Multivariate statistics Containerized
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included by harnessing high-performance computing (HPC) and employing novel multiscale methods that enable seamless propagation of ultrasound from the macro to microscopic level. The proposed framework will
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standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD