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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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-residue contacts. Leverage state-of-the-art protein structure prediction tools, including AlphaFold3, ESMFold, and ESM3, to study antigen evolution and guide protein design. Work in a collaborative group
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management amongst the various project partners. He/she will also be required to pass on their professional knowledge by supervising students. He/She will be responsible for preparing samples for -omics
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The successful candidate will contribute to the development of a new generation of 3D-printed biomimetic materials designed to model the human intestine in vitro, as part of the BAM-INT project. The project aims
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the development and operation of superconducting qubits. You will be working closely with PhD students and other postdoctoral researchers and will be able to benefit from the expertise developed there and
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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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to the methodological development and implementation of task 1.1.2 of the research project. It will develop geographical indicators of environmental exposure based on satellite and geographic data, conduct spatialized
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well as the development of advanced analytical methodologies for the investigation of electrochemical interfaces. The laboratory has recognized expertise in the development and use of the AESEC technique (atomic emission
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experimental work, participants follow a comprehensive career development program focused on transferable skills such as communication, project management, and entrepreneurship. By bringing together leading
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. The successful candidate will directly contribute to the development of millikelvin-range thermometry capabilities, in close interaction with national partners from both academia and industry. In particular