2,213 evolution-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" PhD positions
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Übersicht PhD Position in Radiopharmaceutical Sciences: Glycoengineered Peptides and Nanobodies for Imaging and Therapy 100%, Zurich, fixed-term Drucken The Center for Radiopharmaceutical Sciences
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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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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Tenured Professorship „Systematics, evolution and
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potent cyclic-peptide drugs for therapeutic intervention. (3) Prof. Clemens Mayer ( https://mayerlab.nl/ ) leads the Molecular Evolution Group at the University of Groningen and will tackle a project
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: We seek an interdisciplinary scientist to join our international team studying the evolution of brains, intelligence, and cognition over deep time. Our Deep Time Cognition team—funded by the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 25 days ago
Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated
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interact with the three-dimensional world. We develop methods in computer vision, machine learning, and multimodal representation learning that enable autonomous systems to reason about objects, people
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a