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researcher with expertise in vanadium and rare-earth element (REE) recovery, thermodynamic modeling, and materials characterization to join a cutting-edge research team. The project focuses on developing
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structural biology (cryoEM), proximity labeling (TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R
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on animal models (preterm pigs) and clinical studies, contributing to the translation of milk EV biology into nutritional interventions for preterm infants, as well as preparation of data for high-quality
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: Reviewing existing quantum algorithms relevant to fluid dynamics and atmospheric modeling. Evaluating their compatibility with the structure and requirements of current NWP models. Identifying potential
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Neurock group is currently looking to hire a postdoc in the area of computational
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murine models. Proficiency in immunologic techniques, flow cytometry, proliferation and cytokine assays, cytotoxicity assays, T cell subset isolation, immunohistochemistry, molecular biological techniques
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from EMG, motion capture, dynamometric, or stabilometric systems, mathematical modeling, biopotential analysis, bio-algorithms, or computational neuroscience projects); good command of English, enabling
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
these identified features and activity to wind and sand flux models so that broader interpretations for wind patterns, dune formation on Mars, and aeolian transport and erosion rates can be derived from martian
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inflammatory bowel diseases, optimization of checkpoint cancer immunotherapy, complications of liver disease, autism, C. difficile infections, and others. This provides a unique model for real-world drug
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patients responds to the therapy. Biomarkers are biological indicators that can allow to identify patients that will, or will not, respond to a particular treatment. But patient selection based on currently