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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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and any other groups integral to the successful completion of the research project. Safety Data Coordination, Abstraction and Analysis
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the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data
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and quantitative proteomics, phosphoproteomics, TMT, Cross-linking MS, targeted proteomics (PRM/SRM), and DIA analysis. Prior experience in one or more of these techniques is strongly preferred
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core facilities, performs RNA seq data analysis, and studies nerve response. This role collaborates with Dr. Rutherford and Dr. Shokeen as well. The job includes taking care of the animal models, cell
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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component, are not sufficient to meet the Basic Life Support requirements). Preferred Qualifications Education: Associate degree Certifications: No additional certification beyond what is stated in
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must be obtained within one month of hire date Basic Life Support certification (Online Basic Life Support certifications, those without a skills assessment component, are not sufficient to meet the
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the Required Qualifications section. Skills: Cancer Biology, Cancer Screening, Chromatin, Collaboration, Data Analysis, Data Interpretations, Epigenetic, Experimentation, Genetic Research, Immunobiology
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. • Format, transform, review, and assess data sources to determine their relevance and utility for ongoing analysis. Understand key data sources and variations in these across and within countries. • Review