480 computer-vision-"https:"-"Grenoble-INP---Institute-of-Engineering" Postdoctoral positions
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related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT
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of the region and to the critical and engaged education of new generations. ViCOROB is a research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied
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biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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, data acquisition, Ethernet based field buses, machine vision, AI, C / C++, software development, advanced Imaging, spin off. The Mechanical Engineering department of the VUB is looking for a PostDoc
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programming background Experience in computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required
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20 Feb 2026 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Electrical engineering Physics
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo