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Location ST. LOUIS, MO 63110 Scheduled Hours 40 Position Summary This position is in the Institute for Informatics, Data Science and Biostatistics (I2DB). At I2DB we have a people-centric approach
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ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is
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candidate’s research program. Quantitative methods is broadly defined, but may include experimental design, statistical modeling, psychometrics, computational modeling, and the quantitative analysis
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computational methods with 9-month academic appointments to begin in Fall 2027. Associate Professor and Professor candidates will be considered for tenure review upon hire. We seek applicants whose research
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
important to advance regulatory science and to support drug product quality research. The project will aim to develop validated NMR, DLS and FPLC methods to assess the identity, purity, content and higher
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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Engineering or a closely related discipline. Preferred Qualifications: Strong experience in one or more of the following: Numerical methods for ordinary and delay-differential equations. Scientific computing
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undergraduate program with more than 300 majors; six minor programs; a vibrant MA program including strategic communication; health communication; science, environment, and risk communication; and media and
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challenges in medicine, technology, and sustainability. Founded by Nobel laureate David Baker, the IPD fosters a collaborative, interdisciplinary environment, bringing together expertise in computational
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
statistical methods for evaluating parallelism of dose-response curves between test and reference standards through simulation studies. Evaluation of multiple statistical approaches — including logistic