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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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Qualifications Must have PhD in Molecular Biology, Biochemistry, Biomedical Sciences, or related field. Strong background in proteomics, biomarker discovery, and mass spectrometry-based analysis. Strong technical
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the lifespan with a particular focus on the developmental span extending from childhood through young adulthood. Ongoing projects in Dr. Miller’s lab include (1) utilizing integrative data analysis to harmonize
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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human samples for flow cytometry, mouse handling, manipulation of the murine gut microbiota, microbiology, data analysis and interpretation, microbiota bioinformatic analyses, working collaboratively with
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experience conducting human subjects research, including data collection, analysis, and interpretation. Must also demonstrate strong scientific writing skills. Preference will be given to those with expertise
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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disease and related dementia research is highly desirable • Strong background in statistical data analysis • Excellent communication and organizational skills • Ability to work independently and