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that emphasize modernization of scientific programming languages and workflows. This aligns with internal project directions emphasizing high‑productivity languages (Python, Julia, Rust) and their emerging
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) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods. Experience with
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, or a related discipline The ability to obtain and maintain a security clearance from the Department of Energy Preferred Qualifications: Experience with programming languages such as python, Fortran
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. The Oak Ridge National Laboratory (ORNL) is one of the nation’s largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE). The Enrichment Science and Engineering
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. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other scripting/programming languages in
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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independent R&D on an ongoing basis. Develop and grow programs in image/signal processing, applied machine learning, and artificial intelligence for applications for application areas including AI security
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challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing
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/AMSE N-511 In-place Testing of Nuclear Air Treatment, Heating, Ventilating and Air Conditioning Systems. Excellent written and oral communication skills, including comprehension of technical documents