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-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM’s work is
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generate evidence to support data-driven decision-making. Our research spans impact evaluations, large-scale surveys, geospatial analysis, and the application of AI and big data methods for development
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the appropriate SME is connected to the Grantee based on the complexity of the case and the DNA testing needs. Areas of SME focus may include, but are not limited to, probabilistic genotyping, mixture analysis
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with purchasing manager to initiate subcontracts when needed. Knowledge of Ben Financials will be required. Track post-award expenses and monitor subawards. Provide regular reports, analysis, projections
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workarounds, and support vendor relationships. Lead or contribute to projects for improving teaching technology and service delivery such as technology pilots, data analysis, and product reviews. Support the
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are not limited to, probabilistic genotyping, mixture analysis, forensic genetic genealogy, and general examination of evidence. Job Description Specific responsibilities include Direct Assistance with
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techniques with dry lab digital image analysis and informatics to develop tissue-validated biomarkers for neurodegenerative disease. This position requires experience with wet bench histopathology techniques
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studies the electrical component of the heart by way of ablation procedures and/or cardiac device implants (internal cardioverter defibrillator, pacemaker). The research coordinator will assist in
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at the University of Pennsylvania School of medicine. The mission of the lab is to integrate wet lab human brain histopathology and molecular techniques with dry lab digital image analysis and informatics to develop
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, daily observation of response to treatment, necropsy, organ retrieval and analysis. If necessary, this hire will participate in zebrafish experiments related to intestinal and liver biology. Training will