413 data-science-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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Requisition Id 16736 Overview: We are seeking a Postdoctoral Research Associate who will work with a multi-disciplinary group of experts in economics, engineering, software development, and building
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in information technology, information systems, computer science, computer engineering, business, science, or a related field of study and a minimum of 8 to 12 years of Windows systems engineering and
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science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of
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attack and defense scenarios in production-like conditions. Basic Qualifications: MS Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with at least 2 years of experience
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attack and defense scenarios in production-like conditions. Required Qualifications: MS Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2-7 years of experience
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Requisition Id 16914 Overview: Oak Ridge National Laboratory (ORNL), the largest science and energy laboratory under the U.S. Department of Energy, conducts advanced research to address critical
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mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. As part of our team you will work closely with ORNL staff and external
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to deter or detect opportunities for fraud, waste, and abuse; (2) determine reliability and integrity of financial and operating information; (3) ensure compliance with policies, plans, procedures, accepted
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Requisition Id 16841 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy Laboratory, conducting basic and applied research to deliver transformative
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing