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Field
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, interpretations, analyses and other appropriate techniques. To participate in departmental public engagement activities and initiatives. Promotes equality and values diversity acting as a role model and fostering
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uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods
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impact of the proposed research that explains how the proposed project will change or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with
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cleaning clinical trial data to ensure accuracy and readiness for analysis, as well as performing systematic checks and data management for missing or inconsistent data. The candidate will also be expected
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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. Preferred Experience Experience with vesicle/liposome study and manipulation. Experience with microfluidic systems or dynamic mathematical modeling, Experience within the fields of astrobiology and
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Lawrence Berkeley National Laboratory - Nuclear Science | Berkeley, California | United States | about 12 hours ago
. Characterize radiation detection materials using a variety of methods. Develop mathematical models to support experimental data interpretation and development of the future materials. Function independently and
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its Master of Computer Information Systems program and provides the program to online learners using this same “lecture capture” delivery model. The program has consistently been ranked as one
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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients
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Roundtables. Conduct independent and collaborative quantitative analyses across IHME’s research areas, contributing to the advancement of global health metrics. Design, implement, and refine statistical models