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. The position has a strong experimental component and offers opportunities for technology transfer and collaboration with industrial partners, including extended periods of work with Exail in Bordeaux
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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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the experimental and bioinformatics analysis components—is essential. Proficiency in classical genomics techniques (RNA-seq, ChIP-seq, etc.) Proficiency in mouse ES cell culture and in vitro differentiation
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and physico-chemists interested in molecular structures, working on their design, synthesis, characterization, reactivity and analysis in various environments. The expertise of the Institute is based
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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encoded FRET biosensors for mitochondrial functionality. - Implement innovative data analysis protocols and approaches for FRET/FLIM or radiometric FRET microscopy in cultured cell lines - Modify and/or
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in the framework of the BBEST PEPR. The project aims to valorise syngas derived from biomass via the OX-ZEO process. This relay catalytic process combines a hydrogenating metal oxide to produce
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cellulose. In the context of replacing plastic materials and leveraging biomass as a renewable resource, the goal is to develop green chemistry pathways for modifying cellulose—the primary component of
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this postdoctoral position will focus on adapting this biomass gasification unit to operate in a nitrogen-free atmosphere. The absence of nitrogen is a key factor in converting this synthesis gas into storable fuels