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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life on planetary environments
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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, tumor immunology organotypic in-vitro models, genetically engineered animal models and human tissues from clinical trials. All these approaches are brought to bear on impactful questions in tumor
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(including Crohn’s disease and ulcerative colitis) using molecular and cell biology, multi-omics technologies, murine models, and human tissues. We currently have three major focuses: 1) Innate lymphoid cells
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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core facilities, performs RNA seq data analysis, and studies nerve response. This role collaborates with Dr. Rutherford and Dr. Shokeen as well. The job includes taking care of the animal models, cell
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(PET), functional MRI (fMRI), and electroencephalography (EEG), using advanced quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work
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Position Summary A postdoctoral position is open immediately in the laboratory of Dr. Li Ding at WashU School of Medicine in St. Louis, MO. We are looking for a highly motivated computational