127 information-security-"https:"-"https:"-"https:"-"Durham-University" positions in France
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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, electronics, etc.). The LATMOS (ATMospheres and Space Observations Laboratory) is part of the Pierre Simon Laplace Institute (http://www.latmos.ipsl.fr ) and is located on the Campus of the University
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-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated with the Institut Pasteur's
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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Optical fiber, in addition to being a means of transmitting information, is also a
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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research axes , as well as research programs in computational biology, addressing the challenges of biological process modeling and multi-scale data integration. Successful applicants are expected to secure
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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Experience or strong interest in normative agent architectures BDI, safety-by-design AI, and integration with robotic platforms Familiarity with LLMs and their safe adaptation for restricted domains is a