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selection. Interprets and presents results and recommends appropriate actions Develops and maintains strong knowledge of best regulatory practices, clinical pharmacology principles, PK/PD analysis methodology
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applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include
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. Responsibilities The fellow will play a collaborative and leadership role in project design, study implementation, analysis, survey construction, data collection, data analyses, preparation of publications and
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studies, including clinical development plans, study design and feasibility, and data collection and analysis. Throughout the fellowship, you will engage in projects to develop a deep scientific clinical
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applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc.. Participation in these projects will include
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these projects will include supervising/mentoring graduate/undergraduate students, scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc. 15% Assist in Securing sufficient
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with other faculty and researchers of the Center. Responsibilities: This postdoctoral position will involve leading independent research, as well as conducting analysis of existing data, which can range
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plans • Manage study and site performance via tracking of screening and enrollment activities and protocol deviations • Support ongoing medical review of clinical trial data and data analysis and
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, a7nAChR, a9* nAChR, GIRK1/2, GIRK1/4etc.). Key initial responsibilities will include biochemical and ADME/PK studies and data analysis, SAR hypothesis generation, empirical and structure-based target design