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Field
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and ethical responsibilities of computing – leading change in academic research and education, in the development and use of computing. - home to the largest and fastest HPC infrastructure in Africa
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one scripting language (Python and/or R) for data processing, statistical analysis, and visualisation. Candidates should have experience of working with high-performance computing (HPC) environments and
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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(HPC), and world-class engineering support. Concurrently, MSD and Q-NEXT drive state-of-the-art quantum initiatives focused on fundamental and applied quantum information science, highlighted by recent
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to bring strong expertise in scalable deep learning, high-performance computing (HPC), scalable data management, Linux environments, and production-quality scripting for HPC workflows. Major Duties
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and funding availability. VISION Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance computing (HPC
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and a desire to work in a team-oriented, interdisciplinary environment This position offers access to state-of-the-art facilities (e.g., High Throughput Bioscience Center, link, and HPC environment with
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events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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learning frameworks such as PyTorch, JAX or TensorFlow, alongside experience with large-scale model training, GPU/HPC/cloud computing environments, Linux, version control and reproducible research workflows