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Field
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student position (100%) in Computer Vision for 3 years on the topic of offline to online conversion of historical handwritings within the SNSF-funded research project 'Egrapsa: Retracing the evolutions
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The Department of Ancient Civilizations of the University of Basel invites applications for one PhD student position (100%) in Computer Vision for 3 years on the topic of offline to online
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of novel computer vision methods capable of robustly detecting AUs. Next, the focus will be on novel AI methods for classifying normal vs. pain vs. stress faces. Lastly, head pose detection of horses in
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If you think you might like to specialise in AI and specifically in deep learning, computer vision, differentiable rendering or computational linguistics then this fully funded studentship may be
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University of Strasbourg - ICUBE Laboratory (UMR7357) | Strasbourg, Alsace | France | about 2 months ago
position within a Research Infrastructure? No Offer Description Interested in doing cutting edge research in computer vision/machine learning and in developing foundation models for surgery ? We have several
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14 Mar 2024 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Spain Application Deadline 30 Jun
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14 Mar 2024 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Spain Application Deadline 30 Jun
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-vision based sensing. (C3I has built significant know-how on child speech analysis and synthesis in the past 3 years). Note that C3I works with a number of industry partners and there will be opportunities
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projects Prior experience in computer vision, image analysis, or machine learning Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch Prior
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View All Vacancies Veterinary Medicine & Science Location: UK Other Closing Date: Monday 12 February 2024 Reference: MED1990 Project title: Computer Vision-Based Monitoring of Health, Welfare and