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RESEARCH National Research Network • Quantitative Studio Pedagogy • Engineering Learning and Feedback Applications are invited for a postdoctoral research appointment in the Meinig School of Biomedical
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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C Department's Website: https://fayjones.uark.edu/ Summary of Job Duties: The Postdoctoral Fellow Research in Robotics, Advanced Manufacturing and Materials Innovation will join an interdisciplinary
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to guide experiments. For some sample publications by the group please visit the below links albeit please note this is more of an experimentalist position compared to characterization. https
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selected candidates will join a highly collaborative team of faculty and researchers within CEE’s Materials Innovation Studio, the Civil Infrastructure Testing and Evaluation Lab , the Additive
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whole building energy modeling tools such as Energy Plus, Open Studio, or Design Builder, and community-scale building energy tools such as UrbanOpt; advanced experience with regulatory economics
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. Experience in MATLAB, R (in R studio), and python is desirable. Other Skills and Ability Applicants must possess strong organizational, interpersonal and communication skills; must be highly motivated