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                Network (MSCA-DN) REMOD-HEALING:“Targeting Extracellular Matrix Remodelling in Cutaneous Wounds to Promote Better Healing” REMOD-HEALING Call for applications for 12 Doctoral (PhD) Training Positions in 
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                . Among them, pore-forming proteins represent a unique class of biomolecules with the potential to be re-engineered into highly selective tools for targeting disease-relevant cells. This interdisciplinary 
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                implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions 
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                project aims to explore the therapeutic potential of targeting ncRNAs in two distinct contexts: lung cancer and renal fibrosis. Axis 1: Targeting miR-24-3p in lung adenocarcinomas MicroRNAs (miRNAs) are a 
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                function and differentiation. Through a fully automated high-throughput screening platform, we have identified novel metabolic targets that appear critical for anti-tumor immunity. One PhD project will 
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                collaborates with the Drug Development Department and the sarcoma committee, to validate molecular predictors and implement new targets in therapeutic trials. The candidate will be supervised by S. Postel-Vinay 
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                will involve (but not be limited to) applying sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial 
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                and engineering of nanobodies targeting nicotinic receptors”. The Signaling and Receptor Dynamics group and the Antibody Engineering platform at the Institut Pasteur in Paris are seeking a motivated 
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                uses a tumor-targeting biomolecule (e.g. antibody, peptide, small molecule) labelled with a radionuclide for either diagnostic or therapeutic purposes. Alpha-particle targeted radionuclide therapy (-TRT 
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                behaviour using computational approaches such as Bayesian program synthesis and inverse reinforcement learning. Investigate the diversity of motor commands that could implement observed behaviours and explore