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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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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 18 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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of the following: speech and audio processing, computer vision, eye tracking, or related computational methods. Interest in children's language, attention, or learning, and enthusiasm for working with
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or greater than 18/20; - Competences in Python and specifically PyTorch/Tensorflow; - Previous experience in research on computer vision applied to medical imaging (minimum 6 months after conclusion
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18 Sep 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Other Engineering » Computer engineering Researcher Profile First Stage Researcher
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 1 month ago
scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET). Dr. Qirong Ho – Assistant Professor of Machine Learning and
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project on "On-sensor Computer Vision," carried out in collaboration with Imperial College London, University of Bristol, and industrial partners. As an equal opportunities employer we welcome applicants
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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas. The
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Job Description Apply now Apply Now Start Please wait... Job Title: Research Associate in Computer Vision and Environmental Modelling Posting Start Date: 22/09/2026 Job Id: 3149 School/Department
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learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple-instance learning or high-performance computing is an