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different tasks and physical platforms, ensuring consistent performance in unseen real-world scenarios. Where to apply Website https://phd.fbk.eu/calls/detail/generalization-in-vision-language-action-models
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to pursue a PhD studying how housing policies impact health
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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++ • Experience with robotic systems (ROS, sensors, manipulators, or mobile robots) • Familiarity with computer vision or perception systems • Interest in autonomous systems and agricultural technology • Experience
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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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. Computational chemistry will be used to create a library of model compounds differing in lipophilicity and to calculate their key physicochemical properties (e.g. melting point, solubility, size, chemical