161 computer-science-programming-languages positions at Oak Ridge National Laboratory
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networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods
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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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challenges, and scientific data workflows Preferred Qualifications: An active Q/SCI clearance Ph.D. in Information Science Excellent written and oral communication skills Ability to work independently and to
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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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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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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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order to maintain conformance to both program and contractual requirements. Reviews and interprets government and ORNL procurement policies, regulations and procedures. Deliver ORNL’s mission by aligning
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compliance with environment, safety, health and quality program requirements Maintain strong commitment to the implementation and perpetuation of values and ethics Deliver ORNL’s mission by aligning behaviors
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drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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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