350 coding-theory-"Multiple"-"Humboldt-Stiftung-Foundation" positions at University of Pennsylvania
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and econometric analyses, cleaning and analyzing data, writing research reports, conducting background research and literature reviews, identifying and obtaining secondary data, coding survey
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of biological and physical systems. Job Description Job Responsibilities Develop code to analyze biological and physical networks. Develop mathematical models of biological and physical networks. Draft manuscript
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regimens, high toxicity potential, multiple random assignments, or immunotherapies, etc.) Phase I - IV clinical trials and registries within the ACC CRU Airways Research Team. Complete relevant training
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, coding, and other associated documentation. In sum, the Data Engineer will be responsible for all tasks related to data acquisition; data transformation and cleaning; data integration; and data storage and
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: Coordinate the conduct of complex (i.e., multi-drug regimens, high toxicity potential, multiple random assignments, or immunotherapies, etc.) Phase I – IV clinical trials and registries within the ACC CRU
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theory and best practices, especially as they relate to the issues posed by born-digital content. Fluency with Microsoft Office software, in particular Excel. The ability to work both independently and
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communication skills, attention to detail, and the ability to manage multiple complex programs simultaneously. A demonstrated ability to work cross-culturally and comfort operating in global environments
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multiple complex programs simultaneously. A demonstrated ability to work cross-culturally and comfort operating in global environments are essential. Travel may be required. Work outside of normal business
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integration of applied research and evaluation into technical assistance efforts. This includes contributing to the design and management of qualitative and quantitative data collection, cleaning and coding
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; Develop a leadership approach that integrates a comprehensive understanding of student development theory and the use of data that yields high rates in student success. Qualifications Master's degree