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. Research at the IGDR covers a wide range of subjects in cell biology, taking advantage of classical model systems while strongly promoting interdisciplinary approaches, particularly at the interface between
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at the IBDM (Institute of Developmental Biology of Marseille) within the “Physical approaches to cell dynamics and tissue morphogenesis (PoM)” team, and at IUSTI (University Institute of Industrial Thermal
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computational models and machine learning methods, as well as experience in repertoire data analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-CLAMAR-001/Default.aspx Work
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neuromorphic electronics. RESEARCH OPPORTUNITY: Von Neumann's electronic architecture is now reaching its energy limits, hindering the deployment of high-performance embedded AI. To overcome this bottleneck
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bosons at high energies, thereby preserving perturbative unitarity. Any deviation of the Higgs boson couplings from their Standard Model predictions would require the existence of new interactions
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analyses from various 2D/3D cell models. He/She will produce and characterise peptides derived from the extracellular matrix. He/She will analyse the results and contribute to their application. He/she will
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natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges related to energy transition, resource conservation and
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biomass. The postdoctoral researcher at CERMAV will: • Characterize the topochemistry of the action of these enzyme mimics on model compounds and under real-world conditions. • Develop new functional
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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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for cloning and expressing genes encoding DNA-modifying enzymes for their sustainable production (from atmospheric CO₂ and light) in various genetically manipulable model cyanobacteria. Molecular biology (PCR