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species in the interphases for an in-depth understanding of the electrochemical processes that govern the next generation battery performances. Such a major effort is intimately linked to the use
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to profound physiological changes. Despite several decades of study, the molecular signalling between the two partners and, the symbiosis competence properties of the animal cell remain unclear due to the lack
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
still lacking about such a process, and especially about the physiological causes possible leading to the diversity effect. In this context, the aim of the postdoctoral project is to carry-out simulations
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
Process: Interested candidates are invited to submit a detailed CV and a list of publications. Please send your application by email to Marco Antonio Mendoza at mmendoza@genoscope.cns.fr . Website
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from laboratory staff and may also supervise one or more Master's (M2) students • Processing of the obtained concentrations (Choristoneura fumiferana DNA) to calculate outbreak frequencies • Comparison
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, optics). Perform advanced optical and electrical characterizations. Test fabricated devices. Communicate results internally. Document processes, write technical reports, and contribute to intellectual
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-derived substrates, focusing on yield, selectivity, and stability. Investigation of reaction mechanisms and charge transfer processes to identify scientific bottlenecks and propose strategies
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precipitation (MICP) is a biogeochemical process involving the precipitation of carbonate crystals in the local environment of metabolically active microorganisms [Hoffmann et al. Microbiology 2021]. Several
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-month postdoctoral contract focusing on data processing and the retrieval of information on aerosol heterogeneity from photometric observations made by the AERONET network. This position is part of a
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform