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Emirates Application Deadline 31 Oct 2025 - 00:00 (UTC) 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 the Job
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implementations Monitor and improve the numerical and high-performance capabilities of the code Qualifications PhD in computational plasma physics or similar Experience with GPU programming and high-performance
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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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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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infrastructures using GPU accelerators. Experience building data-fusion workflows to ingest multi-modality geospatial data. Experience using Python or other programming languages to develop AI algorithms in PyTorch
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publications in peer-reviewed journals or conference proceedings, showcasing contributions to the advancement of HPC technologies. Specialized skills in specific areas of HPC, such as GPU programming, quantum
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reviews or reports. Proficiency with Python-based scientific programming tools. Desired Qualifications: Knowledge of superconducting qubits and device physics. Experience with gate calibration
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot
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with Python-based scientific programming tools. Desired Qualifications: Knowledge of superconducting qubits and device physics. Experience with gate calibration on superconducting QPUs. Knowledge