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/Planning Internal Number: 7006956 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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. The person appointed will have an undergraduate degree in Computing, Computer Science, Mathematics or a relevant area. A PhD in a relevant field is essential. You will have experience teaching a broad range of
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer
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workflows. YOUR PROFILE Master’s or PhD degree in bioinformatics, computational biology, statistics, computer science, physics, molecular biotechnology, or a related discipline Prior bioinformatics training
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Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 11 hours ago
independent investigator committed to innovative research in stem cells and regenerative medicine and its clinical application, with the vision and administrative acumen to leverage the Center’s resources
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021