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disease, and identify causal genes and variants using xQTL analysis and integrating our data sets from hundreds of brains (sn-RNAseq, sn-ATAC-seq, sn-long-read PacBio RNAseq, high-resolution spatial
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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 projects, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with a background in genetics/epigenetics, biomedical informatics
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) participating in the research process, including research coordination, data analysis and manuscript preparation. The position can provide postdoctoral clinical hours and supervision necessary for licensure as a
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genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis; and comfort with bioinformatics. The candidate should also be able to work cooperatively with peers
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scales. Comprehensive training will be provided, covering all aspects of clinical research—from participant recruitment and clinical screening to data capture, analysis, and interpretation of study
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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be responsible for co-developing and conducting research projects and studies, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals
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study data accurately and timely. 3. Independent Research: Lead and manage promising projects, including data analysis and problem-solving. Prepare and present research findings through abstracts, posters