43 phd-in-mathematical-modelling-population Postdoctoral positions at University of Washington
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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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experience. Applicant Special Instructions: To apply, please submit the following documents to Rui Tang, PhD, Assistant Professor at ruit@wustl.edu . Cover letter expressing your interest and highlighting your
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experiments and publish papers, under the supervision of the PI on a project in the broad area of epithelial cell mechanobiology. Mentor PhD students, assist in lab organization, and perform lab duties as
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Required Qualifications: PhD in Psychology or related field. Preferred Qualifications: Experience in the fields of digital interventions for mental health and/or eating disorders, with publications in
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biochemistry, genomics, molecular genetics, cell biology, and model organism systems to uncover the mechanisms by which histone mutations disrupt human development and lead to disease. Our ultimate goal is to
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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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organoid culture, genetically engineered murine models, and human samples. The lab has successfully competed for various funding. The appointment is viewed as a training or transitional period preparatory to
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metrics since 2000. 2. Assess the Effects of 3-D Urban Structure on Extreme Humid Heat: Analyze variations in humid heat using Landsat thermal bands, MODIS, and humidity data, modeling how urbanization
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Position Summary The Ornitz Lab at WashU Medicine is seeking a highly motivated postdoctoral researcher with experience working with mouse models of development and disease. Candidates will have the
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, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation protocols to generate