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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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of experiments and retaining a detailed laboratory notebook, data analysis and documentation using R. Assists in preparation of grants, manuscript quality figures and writing. • 20% contribute to basic research
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for biological data analysis Work with large-scale datasets such as: Genomics / transcriptomics (bulk, single-cell, spatial) Epigenomics, proteomics, or multi-omics data Design data preprocessing, feature
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in Miami, FL. The Postdoctoral Scholar will be responsible for developing and leading research projects, conducting data analysis, and implementing programs in Artificial Intelligence in Medical
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at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results. Collects pilot data to help
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). Knowledge of value of information analysis or other advanced health economics methods that rely on harmonized data from multiple sources. Experience with survey design and validation of patient-reported
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, or cell biology preferred. No prior experience required Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound
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governance, and environmental philanthropy Lead in-depth case studies of community-led conservation in Indonesia, including data collection and analysis as well as extensive fieldwork Coordinate and contribute
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structural heart interventions Maintain computer database of research data, tabulate and display data for presentation in research conferences and for manuscript preparation, use graphics and statistical
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, checking, recoding data for analysis). At least intermediate knowledge of SAS or R programming required. Knowledge of Python and/or machine learning helpful but not required. The University of Miami offers