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Field
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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design and performance according to standard design control and quality system practices. 3. Collate, combine, and present experimental data in a clear and concise manner. Use appropriate statistical
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advanced techniques such as CRISPR/Cas9 gene editing, protein biochemistry, mass spectrometry, and live-cell imaging. Analyze data, interpret results, and present findings at internal and external scientific
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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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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of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from
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sustainable practices. Ability to think critically by applying problem solving practices, acquiring relevant information, using technology and other resources appropriately, and evaluating alternatives. Ability
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow, Biological Sciences_Song Division Academic Affairs Department College of Science (Col) Work Unit
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at the Arthur Riggs Diabetes Metabolism Research Institute of City of Hope. Built upon her interdisciplinary training in medicine, vascular biology, bioengineering, and data science, Dr. Chen leads