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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu Classification Title Postdoctoral Researcher Working Title Simons Postdoctoral Fellow Brief...
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Berkeley Lab’s Energy Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you’ll bring together machine learning, real-time monitoring, and thermochemical insight to build smarter,...
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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journals, A&A, MNRAS, or similar); commit to writing or contributing to the quarterly general public education articles that explain the project deliverables in layman terms; be proficient in computational
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
Preferred Experience, Skills, Training/Education: 1. Ph.D. in Industrial Engineering, Biomedical Engineering, Data Science, Computer Science, or related fields. 2. The candidate is expected to have a strong
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize