10 combustion-modelling-postdoc Postdoctoral positions at Case Western Reserve University
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Two Postdoc Scholars in Biostatistics/Bioinformatics/statistical genetics The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine. Dr
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. The project seeks to advance population health using innovative quantitative methods in system dynamics computational modeling and structural equation modeling applied to accelerating the translation and
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been secured for two years, and stipend will follow the NIH Fellowship and Training Stipend Levels. Information on benefits and resources for prospective postdocs can be found on the Office of
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from mice and grow in culture. Conduct analysis of samples to measure specific mouse cell function in vitro and in vivo. (35%) Work with animal models of disease, this will include genotyping by PCR
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technologies, patient-derived organoid models, and novel analytical approaches. The scholar will design and execute strategies to elucidate complex tumor-immune interactions and contribute to the development
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models, zebrafish models, and primary neuron culture is required. The candidate will work independently and should be competent to read the literature, assist with the designing and planning of projects
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models and flow cytometry is required. The candidate will work independently and should be competent to read the literature, assist with designing and planning of projects and carry out research
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, immunology, biochemistry to cell culture, animal studies, patient samples and 3D organoid systems. Experience with mouse models and flow cytometry is required. The candidate will work independently and should
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with mouse models and flow cytometry is required. The candidate will work independently and should be competent to read the literature, assist with designing and planning of projects and carry out
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. Working experience using transgenic/knockout and xenograft mouse models, Cell Signaling and basic molecular biology techniques is valuable; familiarity with CRSPR/Cas9, cancer stem cells, bioinformatics