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: We would like to recruit a postdoctoral fellow in cancer outcomes research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have
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(Febrile Infection-Related Epilepsy Syndrome), integrating biospecimen collection, patient outcomes analysis, and translational research. This unique collaboration between Yale and the VA provides a dynamic
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programming and data analysis skills, one or more first author research publications, and the ability to take the lead on one or more major research projects in partnership with the laboratory PI. Additional
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), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
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; school and participant recruitment, data collection, and analysis; and preparation of research articles and academic presentations. The position will include regular travel within the US to school sites
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conducting research projects and studies, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with a background in data science, computer
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Science, and Harsh Parikh, PhD, incoming Assistant Professor in the Department of Biostatistics, with a focus on the analysis of electronic health records and real-world healthcare data. There may also be
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research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have strong quantitative skills and an interest in applying modeling
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includes: Single-cell and/or spatial genomics technologies Next-generation sequencing (NGS) techniques Computational analysis of genomic data Working with mouse models of disease Flow cytometry and related
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genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven questions. Our overall aim is to