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Field
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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sensing technologies to monitor environmental changes at various spatial and temporal scales and to develop models that address key societal challenges related to climate change, food security, and water
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their reactivity with dinitrogen, which can be reduced and then functionalized to form ammonia or amines. The project will involve synthesizing actinide complexes with ligands developed by a team of doctoral and
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are developed together with stakeholders in the field and local communities. Our teams bring together different perspectives, disciplines and forms of knowledge through long-term partnerships to build robust
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ongoing in-house research programmes, provide support to external users as local contact, and develop your own research programme focused on the interactions between biological membrane mimics at liquid
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of bacterial mutant strains and plasmids. * Construction, manipulation and/or screening of strain libraries, particularly using CRISPRi approaches. * Development and implementation of phenotypic assays to assess
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between PLA2R1 and patient antibodies, both in vitro and in vivo. Develop inhibitors of these interactions and validate them in various assays. Present results, interpret data, validate findings, and take
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remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex molecular
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also investigate the contribution of placodal cells, including non-neuronal mantle cells, to skin remodelling and orifice opening. The project combines developmental and molecular biology, single-cell
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: --Contribute to collective research (literature review, conceptual development). --Help organize the project’s open seminar/public events. --Participate in collective publication. --Contribute, where relevant