878 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at University of Colorado in United States
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% · Performs statistical analyses of large and small data sets including metabolomic and proteomic data sets and has an excellent fund of knowledge about different statistical approaches - 10
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Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state
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and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Opportunities Statement: ADA Statement: The University of Colorado (CU) is
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that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and
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paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal
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monitoring vital signs. Data Management: Abstract, code, and record patient data into Case Report Forms (CRFs) and clinical trial databases with a focus on accuracy and timely entry. Regulatory Compliance
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% · Performs statistical analyses of large and small data sets including metabolomic and proteomic data sets and has an excellent fund of knowledge about different statistical approaches - 10
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Institutional Data Safety Monitoring Plan to assure the highest quality, safest, and most precisely performed clinical cancer research. Key Responsibilities: Examples of Work Performed by the Clinical Research
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: · Apply basic to intermediate statistical, programming, and epidemiological methods to support research projects. · Prepare, clean, and manipulate datasets for use in detailed data queries and
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research using quantitative or qualitative data and appropriate methods. We would be especially enthusiastic about candidates with some exposure to clinical data; injury/mortality/morbidity data