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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Leverage computer vision, smart
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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level Basic knowledge in at least one of the following areas: computer graphics, computer vision, or machine learning / neural networks Programming experience in Python; knowledge of PyTorch is a plus
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the PORTUGAL2030 Programme, under the following conditions: Work Plan and Objectives to Reach: The work to be carried out aims at the research and development of Computer Vision and Machine/Deep Learning algorithms
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Do you want to help shape the next generation of computer vision and artificial intelligence research in an international, collaborative lab environment? We are looking for an assistant professor
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Shape the future of AI and Computer Vision at TU Delft. Lead research. Inspire engineers. Create impact. Job description You will shape the future of computer vision and AI by developing
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algorithms) on the new paradigm’s BOLD time series. Job description: The RA will be analyzing data and writing. PI and research group: The Computational Vision & Reading Group with the Language and Memory
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& Security, Big Science, Biotechnology and Fintech. Main function and scope: We are looking for Senior Computer Vision Engineers / Researchers with proven experience in advanced perception algorithm