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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 16 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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, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic analysis
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Instructions Application through http://jobbnorge.no : https://www.jobbnorge.no/en/available-jobs/job/302170/up-to-5-phd-fellows-in-machine-learning-at-the-arctic-institute-for-ai-in-science-and-innovation
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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: 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 16 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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mathematics, or a closely related field. Relevant experience may include one or more of the following: machine learning, deep learning, or generative modelling computer vision or biological image analysis
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experience beyond the PhD in a research or engineering environment focused on large-scale AI. Experience with geometric deep learning, diffusion architectures, or related frameworks (e.g., OpenFold
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theoretical and practical knowledge of methodologies such as deep and statistical learning. Experience of executing research projects at the level of senior PhD student, including creating and
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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