35 development-"https:" "https:" "https:" "https:" "https:" "Computer Vision Center" Postdoctoral positions
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 18 hours ago
, computer vision, and natural language processing. You will have the opportunity to boost your career development and training, read more here . Post-docs receive highly competitive salaries and other
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Geospatial Artificial Intelligence (GeoAI) under the supervision of Dr. Wenwen Li. The successful candidates will work at the intersection of cutting-edge AI (e.g., computer vision, generative AI, large
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-performance computing is an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning
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Danish education within pharmaceutical sciences through integration of data science. The center is anchored at the Department of Drug Design and Pharmacology, UCPH. The Center’s vision is to make
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Sep 2026
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approval. The appointment includes eligible medical, dental, vision, and life-insurance coverage through Stanford's benefits provisions for postdoctoral scholars. The final appointment and
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Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk