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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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. 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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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 behaviors
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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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. 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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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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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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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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. In addition, you will develop and leverage training data sets derived from years of ARM metadata records, as well as design and implement Large Language Model (LLM)-based conversational interfaces