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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 11 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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Infrastructure? No Offer Description University of Bern – Computer Vision Group Are you passionate about deep learning, self-supervised learning, generative AI, and pushing the boundaries of artificial
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experience in Python programming including experience with the Pytorch library and running deep learning models. We are looking for organized, enthusiastic applicants who work well in a team and can quickly
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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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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Primary supervisor Mahsa Salehi Research area Temporal Analytics Lab The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their
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Primary supervisor Mahsa Salehi Research area Temporal Analytics Lab The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their
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within a Research Infrastructure? No Offer Description We are looking for a Postdoctoral Research Fellow to work on deep learning methodologies for machine and robot perception. The position is
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perception built with machine learning. They will build on the lab's expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically
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perception built with machine learning. They will build on the lab’s expertise in deep computational models of the auditory system and in particular on recent work building models of prosthetically enabled