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Field
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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Requisition Id 16166 Overview: The Programming Systems Group at ORNL seeks a forward‑leaning Postdoctoral Researcher to advance research at the nexus of Agentic AI, high‑productivity programming
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Deadline 7 May 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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academic setting Proficient in at least two programming languages used in research (e.g. Python, C++, Fortran) Experience with programming paradigms used in HPC (e.g., MPI, GPU-programming) Experience
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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BS, MS, and PhD programs in space sciences currently being formed across campus and teach courses within these programs. Research related to the fields of space biology, space biomanufacturing, and/or
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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 Offer Description Recruited by the CNRS
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
across HPC, cloud and GPU environments, with proficiency in programming languages such as Python, Fortran, C, R or Julia and experience with modern AI/ML frameworks. They have expertise in data formats
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the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which
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research, research groups require access to high performance data storage for data-intensive processing, visualization for data analysis, GPUs, access to cloud services and research infrastructure skills