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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 24 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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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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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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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
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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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-time Video Generation, digital double, human-like avatars. Profile PhD in Computer Vision Background in CS Research experience in gen AI, deep learning Strong computational and analytical skills, as
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, quantitative imaging, machine learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector
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expected to have: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as
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experience with the PyTorch library and running deep learning models. The successful candidate will work closely with a team of researchers and faculty members in the ClinicalNLP lab led by Dr. Hua Xu