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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, Information, and Data Sciences (17 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (3 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed
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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
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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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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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. Some budgetary experience would be helpful. Must be reliable, task-oriented, and self-motivated Must have general computer knowledge and basic knowledge of Microsoft Office (i.e. MS Word, MS Excel, etc
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clearly with stakeholders • Organisation and administrative skills • Competent using a range of computer-based and online applications • Able to organise own workload and work
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills