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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to
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posts Starting date: 14.08.2026 Job description: Postdoctoral Researcher - Probabilistic Deep Learning for Urban Air Quality (AEON-UP) Referenzcode: 1056 Arbeitsort: Geesthacht Bewerbungsfrist: 03.09.2026
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://www.epfl.ch/labs/cvlab/ ) is looking for a postdoctoral fellow to work on issues related to co-design for aerodynamic shape and control along the lines described in the following tech report https
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 20 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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collection settings (preschools, homes) using a variety of methods (child-centered wearables, deep learning, fNIRS, eyetracking). The postdoc will primarily be mentored by Meg Cychosz (Linguistics), but
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
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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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least two years of postdoctoral or equivalent research experience, with a strong record of peer-reviewed publications. Strong programming and computational skills in Python and deep learning
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( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure