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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t believe in “one-size-fits-all
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35 Offer Starting Date 1 Nov 2025 Is 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
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). • Strong programming skills (Python required; C++ or other languages appreciated). • Familiarity with large-scale data management and high-performance computing (GPU, clusters) is an asset. Personal
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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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Leading Research Program: Play an integral role in establishing the group as a national leader in computational plasma modeling. The ARS will be expected to help the group build a strong presence in this
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collaboration with our microscopy, sequencing, and protein engineering team to ensure the seamless integration of computational and experimental workflows. Strong programming skills in Python, PyTorch, and JAX
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 30 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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pipelines for large-scale biological datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply
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’ experience post-Ph.D. Expertise in power systems and power electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications