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About the role The postdoctoral researcher will work on a project funded by Amazon Robotics that aims to improve decision-making in large mobile-robot fleets through learning-based corrections
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August 2026 Reference 1319-26-R Join the University of East London – Shaping Futures for 125 Years University of East London (UEL) is a vibrant, diverse, and forward-thinking institution dedicated
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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”, agreement no. UMO-2025/58/E/ST5/00124, financed by the National Science Centre. The candidate will be responsible for: - synthesis and characterization of molecular 0D systems and polymeric assemblies planned
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Monday - Friday, 8 a.m. - 5 p.m. Summary A Postdoctoral Associate position is available in the Division of Vascular Surgery’s Vascular Intelligence for Translational AI & Learning (VITAL) Lab
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of inland Provence, all ideally suited to outdoor and cultural activities. Where to apply E-mail [email protected] Requirements Research FieldNeurosciences » NeurophysiologyEducation LevelPhD
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on their expertise, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives. If you want to learn more about working at
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 🔬 Project Overview The PINKCC Lab develops deep learning, data
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in tropical regions; analyze links between macrofauna and soil carbon; build/validate scoring algorithms using machine learning/cumulative functions. Outputs – Lead scientific, technical, and policy
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross