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into key intermediates such as FDCA and DFF. And to a lesser extent to: • The development of hybrid photo–bio catalytic systems • The study of structure–activity relationships and system integration
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, and geochemical data from multiple work packages; • Development of data transformation workflows and interoperability tools to ensure consistency across diverse datasets (fire experiments, biodiversity
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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the technological pivot of the team, tasked with overcoming hurdles related to integrating plasmonic biosensors within microfluidic chips. A. Microfluidic Development & Prototyping (70%) • Design and fabricate
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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coordination of activities carried out by PhD students and technical staff • Supervision of the development of protocols in microbiology and molecular biology • Participation in field experiments and in
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world of research and development and for the general public. Possible extension of the contract for an additional 12 months. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR2940-ELOBER-148
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation