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biology, with both wet/dry lab backgrounds, to establish protocols and computational pipelines to exploit RNA modifications as disease biomarkers for early cancer diagnosis, and prognosis. EURECA network
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23 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Researcher Profile First Stage Researcher (R1) Country
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networks, which could be used to support the transition to a sustainable, low-carbon energy future. The studentship will be awarded on the basis of merit. Students who pay international tuition fees
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computational modeling to explore how different abstractions of network dynamics shape biological complexity and adaptability. The lab was created in 2025, when Dr. R. Gonzalo Parra started as a Ramón y Cajal
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Application Deadline 6 Oct 2025 - 07:49 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 15 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research
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the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227010 Is the Job related to staff position within a Research Infrastructure? No Offer Description Within
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experimental quantum optics and information science? Would you like to work on groundbreaking physics experiments with real-world applications for quantum networks? If so, keep reading! In the future, quantum
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based