10 data-science-"https:"-"https:"-"https:" Postdoctoral positions at University of Central Florida in United States
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Position Description We invite motivated applicants with research interests in Ultrafast Atomic, Molecular, and Optical Physics and Attosecond science to a postdoctoral position in Prof. Fang's
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The Opportunity (Job description): The University of Central Florida (UCF) chemistry department in the College of Sciences (COS) seeks to hire a Postdoctoral Scholar. The initial appointment will be
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postdoctoral fellow who will conduct innovative cancer research using functional studies with 3D culture models and organoids. Identify the underlying mechanisms using cell biology and molecular biology
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Profile of the dept. or college (Not required) Insert Name Here: Materials Science Engineering The Opportunity A postdoctoral position is available in computational and theoretical materials science
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platforms. Data Analysis and Publication Analyze complex electrochemical performance data, conduct comprehensive materials characterization, and prepare high‑quality manuscripts for submission to leading peer
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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collaboration across disciplines to tackle research that incorporates Engineering Mechanics, Structural Engineering, AI and Data Science. The candidate will assist the DISCOVER lab with managing existing research
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. College of Engineering and Computer Science: The UCF College of Engineering and Computer Science is among the nation's largest producers of engineering and technology workforce talent and we are the No. 1
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The Opportunity The Petelski Lab in the Department of Materials Science & Engineering is seeking applicants for a Postdoctoral Scholar who will help with lab set-up, drive scientific projects, and
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Profile of the dept. or college (Not required) Insert Name Here: Materials Science Engineering The Opportunity (Job description): Design and predict advanced materials for electronic and energy