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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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to NYU’s High Performance Computing (HPC) resources Collaborate in a team setting Coordinate and participate in regular and adhoc meetings with partners and agency sponsors Collaborate with the computational
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level. Knowledge of German is not prerequisite
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channels for LWFA. - Run and combine plasma simulation codes on national HPC platforms. - Develop multi-physics workflows by coupling different simulation tools. - Analyze and interpret simulation results
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. Applications must be submitted online at https://workforum.memphis.edu/ and include a cover letter, CV, two representative publications showcasing your writing or analytical skills, and contact information (not
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns