7 machine-learning-phd research jobs at University of North Carolina at Chapel Hill in United-States
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. - Candidates who are possibly interested in a research career or grad school (Master/PhD) or Machine Learning jobs in the future. Special Physical/Mental Requirements NA Campus Security Authority
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, machine learning, neural networks & deep learning, multivariate statistics, scientific visualization and nonlinear dynamics are applied in the ongoing investigations. The Principal Investigator and her
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Associate to focus on developing machine learning algorithms for medical images. Minimum Education and Experience Requirements PhD or MD. Required Qualifications, Competencies, and Experience Advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Gotz and is housed in the UNC School of Information and Library Science. The VACLab conducts research at the intersection of interactive visualization, human-computer interaction, and machine learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of climate actions, and machine-learning models to predict likely future emissions levels. The post-doc would have access to these data and interface with real-world policy actors and colleagues to refine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim