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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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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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profile A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics, Robotics, or a related field A competitive research record in one or more of the following disciplines: computer vision
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hold a PhD in computer science, or a closely related discipline. Applicants at the assistant professor level should have some teaching experience and a record of peer-reviewed publications. We seek
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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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. The successful candidate will serve in a faculty role with teaching and scholarly responsibilities in the Nurse Educator Program (PhD Nursing) within the Barry University School of Nursing
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grades in a timely manner. Qualifications: PhD in Marine Science, Biology or appropriate discipline. Candidates with prior teaching experience are preferred, as are candidates with an active research
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PhD degree. The start date for this position is Fall 2026. Salary & Benefits: Minimum starting salary of $65,000, commensurate with experience Comprehensive benefits package including medical, vision