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Field
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. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards
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organization and maintenance of a large clinical database Support analysis for scientific presentations and quality improvement projects Present outcome data to other clinicians, collaborating sites, and at
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required. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications PhD. in Animal Science, Neurobiology, Biology, or related fields Experience in cell culture Experience
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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on cutting-edge laboratory and analytical projects to research, develop, and evaluate heat and mass transfer components and systems. This includes next-generation standalone and district geothermal heating
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involving biochemistry, chemistry, and analytical mass spectrometry. Bioinformatics is key to interpreting proteomics datasets, and the individual must be able to analyze and explain proteomics data
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behavioral, modeling, and neuroimaging techniques. Join our team and be involved with writing up data from all of these great and innovative multimodal studies. The Post-Doc will provide technical, analytic
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
prevention interventions. * Willingness and ability to learn new, big data analytic techniques. * Develop figures and reports, which provide transparency into the data quality and characteristics, and
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to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization, among other topics