333 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions at Oak Ridge National Laboratory in United States
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groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments. This position reports to the SIPF Demonstration Group Leader. Major Duties/Responsibilities
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capabilities of Oak Ridge National Laboratory to deliver groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments. This position reports
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US . Overview: The HRIS Functional Analyst IV serves as a senior subject
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liquids, frustrated magnetism, excitonic magnets, and strongly correlated electron systems. You will work closely with theorists, experimentalists, and computer scientists to build robust, scalable
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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, safety, health, and quality program requirements. Uphold strong values and ethics in collaborative research. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values
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methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
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://www.ornl.gov/facility/mdf ) and the Carbon Fiber Technology Facility (https://www.ornl.gov/facility/cftf ) – as well as signature user facilities in high performance computing, neutron sciences, and other areas
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and