18 image-processing-postdoc Postdoctoral positions at University of Central Florida in United States
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The Opportunity (Job description): The University of Central Florida (UCF) Physics department in the College of Sciences (COS) seeks to hire Postdoctoral Scholars. The postdocs will be advised by Dr
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, Gemma, Mistral AI, and others. Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques
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. The Postdoctoral scholar will lead design, fabrication, characterization, and analysis of novel 3D nanophotonic devices for focusing and imaging. The ideal candidate would hold a doctoral degree in physical science
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with members from three universities, one clean energy start-up company, and a DOE national laboratory (Sandia) for a prototype reactor development and demonstration. The scholar will also help Dr. Li
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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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is competitive with additional funding available for professional development. The review process will start in March 2025, and continue until the positions are filled. Minimum Qualifications: To be
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external project partners. Minimum Qualifications: Ph.D. degree in Mechanical and Aerospace Engineering, Chemical and Process/Systems Engineering, or other related fields. Preferred Qualifications: Strong
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The Opportunity: The Post Doctoral Scholar will be part of a collaborative initiative between the Department of Electrical and Computer Engineering at the University of Central Florida (UCF) and
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. Please also arrange for 3 reference letters, all of which address teaching, to be submitted via https://www.ucf.edu/jobs/. The review process will start in March 2025, and continue until the positions
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on several NSF and NIH-funded projects focusing on metacognitive processes and self-regulated learning across learners, STEM, and biomedical learning tasks and domains, using serious games, simulations, and