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, and PhD (Educator and Interprofessional Health concentrations and DNP to PhD). For more information, visit us on-line at: http://www.unlv.edu/nursing MINIMUM QUALIFICATIONS This position requires a High
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic
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specimens for microscopy essential but could be taught. Additionally, assistance to the PI (MD) and a research scientist (Phd) in grantwriting and manuscript writing may be asked. QUALIFICATIONS: Minimum 2
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
Computer Graphics Technology, MS in Technology Management, and PhD in Applied Science and Technology – Technology Management concentration. The Department's mission is to prepare students for success in
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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; however, we are particularly interested in the following areas: AI/Data Science/Controls in Biomedical Engineering/Biomanufacturing (brain-computer interface, computer vision, machine learning, digital
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; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
! More Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/doctoral-candidate-in-computer-vision-and-ma… Requirements Research
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actuation for soft continuum robots Sensing and tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl