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2019-24 publication counts) and several areas are ranked in the top 70, including high-performance computing (#12), operating systems (#11), databases (#29), computer architecture (#46), embedded & real
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counts) and several areas are ranked in the top 70, including high-performance computing (#12), operating systems (#11), databases (#29), computer architecture (#46), embedded & real-time systems (#54), AI
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a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times
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related to your field. Required Qualifications PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or other relevant engineering or science discipline. Expertise
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comprehensive and provides students a wide choice of research topics from the major areas of current physics research, including internationally recognized research in nanomaterials, particle physics
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research topics from the major areas of current physics research, including internationally recognized research in nanomaterials, particle physics, astrophysics, and space physics. The College of Science
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Position Information Posting Number F00613P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Non
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of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates with experience in these areas. The researcher will work closely with
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combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets
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academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is