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Field
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will have access to extensive computing resources, including access to ~100 Nvidia H200 GPUs. Applicants should hold a Ph.D. in computer science-related or biomedical research fields relevant
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. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in delivering high
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and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
NASA's Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with
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Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
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Researcher (R1) Country Singapore Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family-friendly, green campus with on-site kindergarten Ample training
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C