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Lawrence Berkeley National Laboratory - Nuclear Science | Berkeley, California | United States | 2 days 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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or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with the external partner is encouraged. Consider using a diagram to clarify the intended flow
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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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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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, 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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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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of microphysiological systems or organ on a chip model for viral agents. Research project emphasis is placed on determining virus growth and stimulation of an appropriate immune response that mimics what is observed in
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Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
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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