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mechanistic features will be deciphered in order to fully understand the cleavage reaction of DNA with DNAzymes. Sample preparation (DNA both as catalyst and substrate), followed by optimization of pulsed EPR
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demonstrators, to be optimized and evaluated on flexibility, sustainability and efficiency for the corresponding use-cases, including the use of new and emerging specialized AI-focussed accelerators for radio
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hydrogel-based biomimetic matrices (notably GelMA) to support the generation, maturation and functional optimization of multicellular adipose organoids, and integrate them into microfluidic platforms
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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in Toulouse: the LNCMI (transport measurements at very high fields), the CEMES (theory, DFT), and the LAAS (epitaxial growth and nanofabrication). Where to apply Website https://emploi.cnrs.fr/Candidat
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) 3- Empirically challenging the concepts, their practical relevance, and our solutions through reanalysis of lineage tracing data, comparison of lineage tracing technics and algorithms, mathematical
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description There is a need to develop optimized Mixed Matrix Membranes (MMMs) based on highly
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Additional Information Eligibility criteria English language skills at B2 to C1 level, mathematical and IT tools necessary for analyzing results Website for additional job details https://emploi.cnrs.fr/Offres
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21 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire Paul Painlevé Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1
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into an association (https://lbbe.univ-lyon1.fr/fr/les-pinsons-migrateurs ) and regularly organize seminars and other activities. Finally, a working group on mathematical modeling begins in the laboratory, in which