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Field
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the ion-neutral coupling in the Earth’s upper atmosphere during geomagnetically active times. Research topics include interactions between large-scale traveling atmospheric disturbances (LSTADs) and large
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mission by aligning behaviors, priorities, and interactions with our cove values of Impact, Integrity, Teamwork, Safety, and Science. As a member of the ORNL scientific community, you will be expected
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tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces. Evaluate optical
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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/ Data Analytics Artificial Intelligence, Machine Learning and Autonomy Appl Deadline: 2026/06/17 11:59PM (posted 2025/06/17) Position Description: Apply Position Description The Skinnider Lab
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. As a member of the ORNL scientific community, you will be expected
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induction regulate ATRT brain tumor response and resistance. Key Responsibilities: Interact with animal facility staff. Use University system to order reagents and supplies as needed. Maintain laboratory
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine