16 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Central Florida
Sort by
Refine Your Search
-
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
-
Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
-
: - Mentor graduate and undergraduate students. Develop new research: - Support or lead research proposals. Minimum Qualifications PhD in Electrical Engineering, Electrical and Computer Engineering, Materials
-
engineering, computer science, mechanical engineering, human factors, aerospace engineering, or a closely related discipline) awarded by the start date of the fellowship. Strong experience in at least one of
-
independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
-
. 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
-
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
-
integrate in vivo mouse models and proteomics via mass spectrometry to uncover mechanisms of immune reprogramming and therapeutic response. Minimum Qualifications: PhD in Biomedical Sciences, Bioengineering
-
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
-
institutes. Supervise and train graduate and undergraduate students. Minimum Qualifications: PhD in Biomedical Sciences, Bioengineering, or any related field. Preferred Qualifications: Working knowledge