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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster
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large scale due to their cost, but also, they can't capture global motions. The goal of the current project is to develop MLIP that will replace QM/MM, leading to ML/MM simulations that will be usable
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to develop the following research project : On-demand platform delivery workers: quantitative and qualitative analyses, international comparisons This postdoctoral position is part of a proposal to be
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languages (medieval and early modern Norman French and Occitan). Position Overview The researcher will contribute to the development of a semi-automated workflow for high-quality annotation of corpora in
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into the overall study conducted by the Rubiacum team (chronology of development phases of the town wall; graphical reconstruction of structures and their functioning) Related activities : Archival research (on site
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, including the development of a unique training approach for HL-LHC and SKAO staff focusing on the use of large scale cyber-infrastructures, supported by SLICES-RI, as well as enhanced interactions with
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proteins, we will employ a genetic code expansion strategy, developed in the group, to incorporate small reactive non-canonical amino acids. This allows us to attach fluorescent probes at the desired
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RTN can also be complicated, especially when several traps are active at the same time. This requires the development of robust and accurate extraction methods that can process a large number of
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on the second part of the project and will consist in using heterogeneous catalysts developed by the first PhD student in the oxidation of cellulose to determine the best catalysts formulations, along with
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from limited data; development of automated and interactive pipelines. • AI and image processing for anomaly detection: data acquisition (dataset creation and validation), segmentation of realistic data