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(These examples do not include all possible tasks in this work and do not limit the assignment of related tasks.) 90% Research and data analysis: Individual will design and conduct complex, multi-step laboratory
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Data: Couple model outputs with precipitation chemistry data using receptor modeling techniques (e.g., Concentration Weighted Trajectory analysis, Positive Matrix Factorization) to perform quantitative
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% Detailed documentation of procedures and experimental data is required. This involves analyses of data, writing summary reports on results of work and discussing results with laboratory colleagues and
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of Minnesota is seeking two postdoctoral research associates to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process
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culture, plasmid preparation, cloning, protein purification and enzymatic assays. The position will also lead data analysis and preparation of reports for presentation, manuscript or patent applications
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to collaborate with labs with expertise in molecular modeling, data science and analytics and structural biology to further both their project and career goals. As we are broadly pursuing how to translate
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notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. -Analyze data and present findings/progress in individual meetings and at lab meeting, when
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for conducting experiments and collecting data. You will contribute to the preparation of research manuscripts for publication and grant submissions. In addition to your research responsibilities, you will play
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/pharmacodynamic data analysis in the presence of high-dimensional covariates for the improved model-informed decision making. The initial duration of this position is 1 year, but may be extended or a second and/or
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of the Minnesota Population Center (MPC), in the Institute for Social Research and Data Innovation (ISRDI), at the University of Minnesota. RESPONSIBILITIES Specific responsibilities include conducting empirical