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Low vision and vision impairment School of Allied Health Professions, Pharmacy, Nursing and Midwifery PhD Research Project Self Funded Dr Gemma Arblaster , Dr S Toor , Dr C Codina Application
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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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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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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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Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos)
Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD Position in Reversible Programming for Energy
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Vision-Language-Action models and their fine-tuning, evaluation, or extension. Multimodal sensor integration (force, tactile, vision) into policy learning pipelines. GPU-parallel simulation, large