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innovative software solutions to climate modeling problems that represent the state-of-the-art in high-performance computing and are performant on GPUs. Contribute to the design, performance specification, and
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are looking to fill a position as Scientific Programmer (m/f/d) High-Performance Computing and Software Engineering The department investigates the dynamics of the ocean carbon cycle, its variability and
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research-focused HPC environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in Europe
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are seeking highly motivated Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will
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humanity. • Access to state-of-the-art facilities, including extensive departmental CPU/GPU computing resources and Imperial’s Research Computing Service. • A vibrant, interdisciplinary research culture
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing
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of computer vision, pattern recognition, and image analysis: experience with biomedical imaging modalities is a strong asset Hands-on experience deploying and managing workloads in GPU-enabled High-Performance
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into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance Computing (HPC) environments Prototype using emerging computer
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consequence, we only expect to hire pure mathematicians that can demonstrate a strong alignment to our growing Joint Mathematics and Computing undergraduate programme. Imperial College London seeks several
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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst