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to develop, optimize and apply advanced mass spectrometry approaches for the structural and molecular characterization of ARDCs, and to analyze and interpret the resulting data. - Develop and optimize mass
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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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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained
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of metastable states and low-energy pathways between them, and determining when and how constrained dynamical trajectories select these structures over more typical ones. The postdoc will (a) contribute to the
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the study of rare-earth nickelates in the infinite-layer phase, either partially or fully reduced. Partial reduction of these materials could lead to the emergence of new electronic and structural properties
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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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to best practices: ethics, animal experimentation regulations, and current standards. -Data processing and analysis:Cleaning, structuring, and annotating datasets for optimal use. Analyzing raw results and
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, the successful candidate will integrate phenotypic characterization, genetic perturbation, and comparative genomic analyses. * Culture and handling of clinical *Escherichia coli* strains. * Construction
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and