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systems, targeting high performance & energy-efficiency, robustness, and trustworthiness. A key focus will be on IP generation, patenting, high-quality publications in top-tier ML/AI, Robotics, and Systems
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scientific or engineering problems, including the development, training, validation, or evaluation of machine-learning models. Proficiency in Python and experience working in Linux and high-performance
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scientific or engineering problems, including the development, training, validation, or evaluation of machine-learning models. Proficiency in Python and experience working in Linux and high-performance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Experience with software development and/or high-performance computing. Experience working with compiled programming languages (C, C++, Fortran). Special Physical/Mental Requirements Special
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
Experience with software development and/or high-performance computing. Experience working with compiled programming languages (C, C++, Fortran). Special Physical/Mental Requirements Special
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high-performance computing resources will support translational research aimed at improving kidney health. Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02341-2026
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simulations of dwarf galaxies would be advantageous. The researcher will have access to Surrey’s High Performance Computing cluster Eureka2 as well as career mentoring and training opportunities. Travel
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imaging datasets. Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing
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modifying AI agents, tool-using models, or code generation systems. Experience with high-performance computing environments. Experience releasing open-source projects. Experience executing large user
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design experimentally tractable peptide sets; ingest assay results, assess prediction performance and iteratively improve prioritisation methods. Collaborate and create reusable research outputs. Work