11 data-"https:"-"https:"-"https:"-"https:"-"CITY-UNIVERSITY-OF-HONG-KONG" Fellowship positions at Indiana University
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Posting Details Position Details Title Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU
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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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data collection and integration across multi-institutional collaborators. Work closely with clinical and research teams to ensure high-quality sample tracking, annotation, and compliance with
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Levin (USGS, Upper Midwest Water Science Center). This position offers opportunities for professional development through the USGS network and collaboration with hydrologists, climatologists, and data
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letter describing research experience & interests, CV, and contact information of three references. All applications must be submitted through this site. Priority Application Review Deadline Expected Start
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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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, biomarker, and genetics data across multiple studies. Expertise in biostatistics and familiarity with handling multiple data types, both cross-sectionally and longitudinally, are critical for success. IUSM is
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in Nature Cell Biology, Developmental Cell, Development, Genome Biology, Nature Communications, Nature, etc. Additional information of the lab could be obtained from the website: hSps://medicine
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). The postdoctoral fellow is expected to collect and analyze data, summarize findings, and participate/assist in the preparation of scientific manuscripts, abstracts, posters, and possibly grants. The duties also
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knowledge of experimental design, underlying scientific principles, the ability to analyze and assess results, and data preparation for papers and grants. The candidate must have excellent spoken and written