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Field
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solutions on modern HPC and GPU-accelerated systems. This role includes supporting climate and geophysical science applications, enabling large-scale AI training and inference workflows, and contributing
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in two-phase transport, heat transfer, and fuel cell electrochemistry The ECEC, directed by Prof. Chao-Yang Wang, is a multi-disciplinary research program concentrating on advanced batteries and fuel
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Application Deadline 31 Mar 2027 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2027 Is the job funded through the EU Research Framework Programme? Not
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Tech. ARC currently operates compute resources comprised of • 50,000+ CPU cores • 500+ GPUs • over 10 PB of storage • a world class immersive visualization lab. We continuously evaluate emerging research
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participation in development of underlying libraries for performance portability. A strong background in particle based and statistical modeling is preferred. Competency in programming across hardware types
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ph.D. student (M
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research. What about computing power? Well, BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent
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projects, deploying workflows on large-scale computing environments, leveraging ORNL’s Frontier for its dense GPU-based high-performance computing resources to train large GeoAI models. Major Duties
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation