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interdisciplinary team. The final candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. They should have experience in
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. - Teamwork: Ability to work collaboratively with others and contribute to a team environment. - Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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, computer science, or ecology with a quantitative, and empirical orientation. Required knowledge, skills and abilities: Ability to multi task and work cooperatively with others Good communication and computer skills
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environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s mission. Specific responsibilities include
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collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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): Chemistry and Materials Sciences (1 ) Computer, Information, and Data Sciences (1 ) Life Health and Medical Sciences (3 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s
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of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time