202 machine-learning-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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Requisition Id 16980 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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ability to maintain organized and accurate documentation and records. Strong written and oral communication skills. Ability to learn and apply new processes, procedures, and systems while working in a
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virtual-machine lifecycle operations. Understanding of networking fundamentals, system performance indicators, telemetry, and diagnostic methodologies. Preferred Qualifications: Strong analytical and
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The ability to understand and manage technical issues related to facility infrastructure Candidates should have strong computer skills, good interpersonal abilities, and good communication skills Motivated self
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in urban-scale building energy modeling, software development (esp. Python), or Artificial Intelligence/Machine Learning (AI/ML) Strong ideation, writing, and communication skills for establishing
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, interpersonal, verbal, and written communication skills. Preferred Qualifications: CIH and/or CSP certifications. DOE-related work experience. Experience working with personal computer software including
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on program needs. Basic Qualifications: BS degree in computer science, computer engineering, information systems or a related field, and 5 years of relevant professional experience (or an equivalent
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computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5 years of aligned professional experience is required
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on the development of materials and equipment and processing techniques for reliability of AM processes through in-situ process monitoring, data analytics, and routine machine maintenance. You will be expected
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end