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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
graphics, and deep learning. A suitable candidate should have publications in good venues, mainly CVPR, ICCV, ECCV, ICLR, NeurIPS, Siggraph, and Siggraph Asia. Various research topics are available and
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Apply now » Internal Research Fellow (PostDoc) in Theory of Deep Learning Job Requisition ID: 20829 Date Posted: 5 August 2026 Closing Date: 2 September 2026 23:59 CET/CEST Publication: External
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etc.). Familiarity with machine learning or deep learning theory. Hands-on experience with machine learning or deep learning models for finance or economics. Excellent written and oral communication
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Responsibilities Design and implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions
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Responsibilities: Develop and apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
cutting-edge machine (deep) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from
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framework for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein ensemble structures. As an Empire AI
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do this with “eallju” (Sami: eagerness to work) on a foundation of fundamental AI research in artificial neural networks and deep learning. [AI]² is partially growing out of Visual Intelligence (VI
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(Computer Science, theory, empirical, or Science). Excellent academic record required Solid programming foundation, familiar with mainstream deep learning frameworks such as PyTorch. ACM/ICPC or NOI/IOI
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and ability to work as team leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries