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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
Technology Focus Areas: Tenure-track Assistant Professor in Video and Audio Processing, XR/3D Media processing, Computer Vision, Computer Graphics, Haptic information processing, Artificial Intelligence
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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to the College by establishing a compelling vision and implementing a strategic plan to achieve that vision. _of_Work_Unit Position Summary: Colorado State University invites applications and nominations
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, data acquisition, Ethernet based field buses, machine vision, AI, C / C++, software development, advanced Imaging, spin off. The Mechanical Engineering department of the VUB is looking for a PostDoc
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college, please https://www.khoury.northeastern.edu/ Responsibilities: Teach computer and information science courses for the undergraduate and graduate programs for the Khoury College of Computer Sciences
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time