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Übersicht PhD Position in Computer Vision Applied to Natural Hazards 100%, Zurich, fixed-term Drucken The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and
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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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intersection of computer vision, AI, and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species
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Job Description Are you passionate about computer vision, deep learning, and multimodal AI, and excited to shape how humans and machines communicate? Do you want to help build the next generation of
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PhD Position - Efficient Long-Context Large Models for Vision and Vision-Language-Action Systems ...
Helmholtz Association of German Research Centres | Karlsruhe, Baden-Württemberg | Germany | about 20 hours agoautonomous systems. You will investigate efficient long-context models for computer vision and VLA systems and apply it to autonomous driving. The research will combine attention optimization, token
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Associate - Developmental Programming of
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mechanisms underlying this developmental programming. Current studies focus on how bile acid signaling during early postnatal life establishes adipose tissue architecture and function, including effects on
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activities We are looking for candidates who have: A strong background in computer vision and machine learning Experience with deep-learning frameworks such as PyTorch Strong programming and
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computer vision, ideally segmentation and/or quantification of micro-CT data experience developing deep learning-based image analysis methods experience with scientific Python programming experience
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research in leading journals and conferences. Attract competitive research funding in Denmark and Europe. Teach and develop courses in parallel computer systems, parallel programming, and HPC, and supervise