191 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United States
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neuroinflammation. The PhD student will help uncover the molecular and cellular pathways linking the allergic gut to the inflamed brain, and how these pathways shape disease risk later in life. The successful
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, Behavior and Learning Program at the University of North Carolina. This faculty position will lead clinical consultation efforts with the pediatric and adolescent population in the outpatient setting
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
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demonstrate excellence in teaching and mentoring students at all levels including those in our DDS/PhD program. The candidate will collaborate closely with the Data Science Institute. A successful candidate
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: Relevant PhD. Or, relevant Master's Degree and 3 or more years of experience. Or, relevant Bachelor's Degree and 5 or more years of experience. * Must meet educational requirements prior to employment start
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the faculty member's progression toward establishing an independent research program. Required Educational Background: Applicant must have a Ph.D. in a field of engineering in a field relevant to the aneurysm
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on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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Job Description Applications are invited for a full-time Research Assistant Professor position in Virginia Tech's Bradley Department of Electrical and Computer Engineering. The successful candidate
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/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday