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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or TensorFlow, JAX or similar. Generative AI
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++, Python, MPI, OpenMP, CUDA, OpenACC, etc.). • Excellent analytical, problem solving and decision-making skills • Creative and innovative individual with clear initiatives to improve lab operation • Flexible
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performance networks (Infiniband) Proficient in scripting languages (i.e. Bash, Python, Ruby) Familiar with configuration management tools (Puppet) Proficient documentation skills Will have working level
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Scientific computing using FEniCS, COMSOL, and Python/C++ KAUST offers a highly international and interdisciplinary research environment with access to world-class computational and experimental facilities.
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to: Design, prototype, and test laser-based systems for field use. Conduct field deployments including sensor installation, calibration, and troubleshooting. Write and implement Python-based scripts for sensor
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to improving the quality and efficiency of the consortium code base. Preference will be given to candidates with a strong publication record and proven experience in Python programming, source code versioning