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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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responsibility. - Structure and populate an open and spatialized database: shared responsibility with the study engineer. 4) Supervision and collaboration: - Co-supervise the study engineer in their tasks
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valorising the resulting particles by assembling them with a binder could enable the production of materials for applications such as construction and urban furniture. A major challenge is to distribute
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modifications induced by conjugation. - Investigate the impact of conjugation on antibody structure and conformation, notably using ion mobility mass spectrometry and Collision Induced Unfolding (CIU) approaches
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generation (natural hydrogen, geothermal energy, and minerals). The aim of the Post Doc project is to assess how the initial structure and thermal state of the continental lithosphere is influencing
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to be protected, preserved, and upheld—a common culture in terms of risk and danger perception. This is all the more true if the principle of prevention comes to structure risk management. The Re-Contract
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international scientific journals and present your work at major conferences; · The possibility to contribute to technological innovation and patent development; · The opportunity to build a strong scientific
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supergravity solutions dual to strongly coupled gauge theories in 4 dimensions. The other is to construct new coherent truncations in which to determine new solutions of interest for AdS/CFT duality. 1) Use and
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models