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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 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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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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biological questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational
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Postdoctoral Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI
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Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 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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Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science Posting Number req27365 Department Psychology Department Website Link https://psychology.arizona.edu/ Location
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-generation computational methods to address a range of problems in ocean, atmosphere, and ice dynamics. We are seeking full-time Postdoctoral Fellows who will conduct deep and impactful research and
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experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise : Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience
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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