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Field
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. Professional communication skills, including written and oral. General computer skills using numerous software programs including, Microsoft Office (e.g., Word, Excel, PowerPoint, Access). Proficiency in drug
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The Dai Lab (Intelligent Image-Guided Intervention Lab) in the Department of Radiation Oncology at Stanford
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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in
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environment, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities
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. Position description Postdoctoral Scholar positions are occasionally available throughout the year in the Department of Electrical Engineering and Computer Science in Samueli School of Engineering. These
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building