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the output of an ocean model that does not include ice-shelf cavities. Building on previous work, the candidate will design strategies for constructing a suitable set of synthetic ice-shelf cavities
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cobalt-salen complexes). The research will be conducted at the Laboratory of Coordination Chemistry (LCC) in Toulouse, as part of a consortium bringing together a team of chemists from the United States
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these types is primordial: we must ensure the ciphers in use are resistant to state-of-the-art attack techniques to confidently continue using it, while before adopting a new cipher we must check its resistance
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- participation in conferences The PhD work will be carried out within the ISMO (joint CNRS / University Paris-Saclay unit)and Institut Langevin as part of an european project (ERC) and an ANR contract between
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characterization (NMR, UV, IRTF, MS) - English level C2 - Writing of scientific reports in French and English - Ability to work in a team, autonomy The objective of this thesis will be to study the spatial
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memorization. The work will build on the datasets and models developed at GREYC and disseminated in the following two publications: * Ledoyen F., Dias G., Maurel F., Chahir Y. Inclusive Easy-to-Read Text
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collaboration with Osaka University, where in situ kinetic measurement experiments can be conducted. Finally, this thesis is part of the ANR MUSiCAL project, a collaborative initiative between SIMaP (Université
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural
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mechanobiology for life science applications. The PhD project will be jointly supervised by Laurent Malaquin (LAAS-CNRS) and Elise Rigot (LLA-CREATIS, Université Toulouse Jean Jaurès) as part of an original Art
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to the objectives of technological sovereignty, methodological innovation, and the structuring of CCI ecosystems by proposing a scientific framework for mastering the use of generative AI in cultural and heritage