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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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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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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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programming interfaces, particularly Thermo Fisher’s AutoScript Software Experience with artificial intelligence or machine learning Excellent written and oral communication skills. Motivated self-starter with
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with environment, safety, health and quality program requirements Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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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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with cyber physical security, applications of AI to cybersecurity, and software engineering principles Excellent written and oral communication skills Motivated self-starter with the ability to work
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device development. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
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portability programming language (e.g., CUDA, HIP, Kokkos, SYCL). Special Requirements: Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such
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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