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growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a strong network of national and international collaborators in both academia and
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staff position within a Research Infrastructure? No Offer Description Reference number ORU 2.1.1-07580/2025 We are looking for a postdoctoral researcher in Embodied Learning for Underwater Robotics for a
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 20 days ago
the Sierra project team (https://www.di.ens.fr/sierra/ ) within the Inria Paris (https://www.inria.fr/en/inria-paris-centre ) to work under the supervision of Adrien Taylor and Aymeric Dieuleveut (http
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning
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the next generation of secure agentic AI systems through cutting-edge research in adversarial machine learning and formal verification. The Role As a research scientist, you will contribute to frontier AI
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supporting better patient outcomes. The successful candidate will lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning
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to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The researcher will be part of a growing team of researchers, postdocs and PhD students working
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP