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–pathogen interactions and infectious disease models Tumorigenesis, paligenosis, and tumor–microenvironment interactions Organoid, assembloid, or advanced tissue modeling systems Molecular pathways regulating
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Laboratory (University of Nantes) and the NIMBE Laboratory (CEA Saclay). This molecular chemistry project aims to develop pericyclic reactions suitable for real-time NMR monitoring, enabling the detection
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Functionalization reaction on molecular model substrates Polymer synthesis by chemical post-modification Physico-chemical characterization of polymeric materials at different scales Writing of reports and articles
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. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for two highly motivated Postdoctoral fellows to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab
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the opportunity to work with state-of-the-art platforms, including patient-derived models (PDXs), 3D organoids/spheroids, advanced molecular assays, and multi-omics datasets. Looking for recent PhD graduates
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of migraine using pharmacological and genetic approaches with mouse models. The role features a strong administrative and leadership component, including writing and amending protocols, managing staff and
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materials modeling and mechanics, including molecular simulations, multiscale modeling, and/or machine‑learning‑based materials design Demonstrated publication record in peer‑reviewed journals relevant
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/Qualifications Hold a PhD in Biology, Biochemistry, or a related field; Have a strong background in molecular and cellular biology techniques; Ideally possess experience with mouse models, mammalian cell culture
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse