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applied and theoretical innovations in reliable, responsible, real-time, and high performance AI and machine learning, particularly with applications in biology, earth and planetary sciences, sustainability
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in Linux/Unix-based high-performance computing ( HPC ) environments and job schedulers (e.g., SLURM or qsub); experience with cloud computing platforms (e.g., AWS , GCP , Terra) is a plus
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feeds Solving electromagnetic integral equations: from high-order discretization to H-matrix compression H/F 156 / 754 vacancy Vacancy details Position description Category Mathematics, information
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
) • Demonstrated experience with DSMC • Strong background in rarefied gas dynamics and kinetic theory • Publications in rarefied gas dynamics or computational fluid dynamics • Experience with high-performance
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International Max Planck Research School on Astrophysics at Ludwig Maximilians University Munich, Germany | 2 months ago
instrumentation, and high-performance computing facilities for advanced numerical simulations and theoretical research. Applications are welcome from outstanding students of all nationalities. Successful
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learning experiments on high-performance computing infrastructure, and evaluation using objective metrics and subjective listening tests. Your network and team You will be supervised by Assistant
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-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard circuit simulation tools
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-performance computing (HPC) systems are expected. Experience in one or more of the following areas is desirable: machine learning, agentic AI, software engineering, scientific machine learning, or
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, machine learning, scientific programming, and high-performance computing is highly desirable. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of
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systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across the systems-ML