236 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United States
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Title: PhD Student Mentor-Learning Technologies Employee Classification: PhD Student Mentor Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Information
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
applications. Active research by the UA ECE faculty includes robotics, intelligent sensors, computer vision, machine learning and deep learning, wearable sensors, security and privacy in computing systems
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available for 2025 developing and applying machine learning models for computational disease biology at UMass Lowell, Center for Health Data Science , departments of Biology and Computer
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Working Title PhD - Research Assistant Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical Engineering Division
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willingness to learn and apply machine learning approaches We offer A versatile and challenging job in a vibrant and world-class research environment operating at an international levelParticipation in a large
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; innovations in teaching and learning; assessment and program evaluation; decision-making and clinical reasoning; and anti-oppression, diversity, equity, and inclusion. Applicants must hold a doctorate degree
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Classification Title: RESEARCH ASSISTANT SCIENTIST Job Description: The Department of Electrical & Computer Engineering (ECE) in the Herbert Wertheim College of Engineering (HWCOE) at the University
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of ne computational chemistry algorithms in efficient computer codes • Demonstrated ability to approach complex problems creatively • Experience and/or interest in mentoring undergraduate
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direction of the fellowship training program. Minimum Qualifications Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in Social, Behavioral