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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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Research Center, the Institute for Healthcare Informatics and the New York State Center of Excellence for Bioinformatics and Life Sciences including the Buffalo Institute for Genomics and Data Analytics
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techniques. Perform epigenetic analysis through next-generation sequencing library preparation (e.g. spatial genomics and metabolomics). Perform bioinformatics analysis. Maintain mouse colony and perform eye
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techniques. Perform epigenetic analysis through next-generation sequencing library preparation (e.g. spatial genomics and metabolomics). Perform bioinformatics analysis. Maintain mouse colony and perform eye
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blot, histology, immunohistochemistry), Cardiac cell and tissue culture (incubator), Bioinformatics (transcriptomics, metabolomics, proteomics), Signal processing (optical action potentials, electrograms
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Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
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Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
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multidisciplinary teams to uncover patterns, trends, and relationships in aging data. Required Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics