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to support reliable DAS interpretation and urban infrastructure monitoring. Key Responsibilities: Develop automated, uncertainty-aware algorithms to infer and map fiber-optic cable routes from DAS-derived
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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with algorithm software development and user interface design. Key Responsibilities: Collect relevant traffic data from several resources, working with industrial collaborators. Carry out necessary data analytics
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic
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interactions Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: Master qualification degree in ecology, biogeochemistry, Earth/soil science
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nucleosome-level molecular switch that primes and influences HBV infection (10.1016/j.cell.2025.01.033. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and
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worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability, qubit overhead and decoding latency. A
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/or experience with reconstruction algorithms for particle physics would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5033-ALEVAL-004/Default.aspx Work Location(s
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learning, physical AI, and spatial AI. The RA will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration