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(www.shape-med-lyon.fr ). The Virome@tlas project – was recently granted a prize by the SHAPEMed@Lyon consortium as part of the call for structuring projects 2023 – develops a digital platform dedicated to
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objective is to develop artificial intelligence methods that complement modeling techniques, particularly at the atomic scale, specific to the physical chemistry of materials. In this context
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also cost-effective to reduce the average cost per analysis and ensuring large-scale deployment. The IMITECH project (https://imitech.cnrs.fr/ ) aims at developing autonomous, innovative miniaturized and
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experiments to understand immunological mechanism in the context of type2 immune responses Develop and coordinate flow cytometry experiments (research group A. Kuehn) in the context of a clinical study with the
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 days ago
the mechanics and dynamics of granular media. Based on high-fidelity particle-scale simulations and cutting-edge in-operando experiments, data-driven methods will be developed to discover physics-based material
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essential in numerous everyday applications such as lighting, displays, and detection systems. A current challenge is to develop multifunctional, stimulusresponsive materials capable of meeting various needs
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- work environment: The mission of the MIVEGEC joint-research unit (Infectious Diseases and Vectors: Ecology, Genetics, Evolution, Control) is to understand maintenance, amplification and transmission
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Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and
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Infrastructure? No Offer Description The postdoctoral researcher will apply the mathematical tools developed by the ANR TeMPlex project team to the study of simulated or observed hydrological dynamics, with
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the development of reference-free methods for indexing and querying nucleotide sequence datasets, moving away from traditional methods that typically only consider annotated genes or transcripts