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Field
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Mathematica and Python with an interest in GPU programming. These required and desired skills should be demonstrated by presenting an existing body of code and/or peer-reviewed publications. Additional
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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Security (CSRPS) which is part of our M34Impact programme. Joining the Expanding Excellence in England (E3) funded, M34Impact programme you will contribute to tackling major societal challenges affecting
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Ridge National Laboratory (ORNL). This position resides in the AI Operations Program office within the Application Developement Division of the Information Technology Services Directorate. Our AI/ML
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College, Greenwich, you will be part of the Centre for Safety, Resilience and Protective Security (CSRPS) which is part of our M34Impact programme. Joining the Expanding Excellence in England (E3) funded
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) Compensation Grade Administration & Operations Compensation Grade Profile Senior Manager; Senior Program Leader (P6) Wage Ranges Click here to see our Wage Ranges Searchable Job Family Computing and Information
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for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable
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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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partner with ORNL research organizations to enable research excellence and delivery. We work with other clustered computing and HPC groups to help research programs identify the best solutions