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-EELS, STEM-EDS, electron diffraction, and 4D STEM, is essential. Experience with in situ gas phase TEM and low-dose imaging. Experience synthesizing polysiloxanes, processing thin polymer films, and
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-distance collaborative autonomy; ● Autonomous Unmanned Systems: aerial robotics, robot motion planning, digital twin development, robot navigation of complex terrain, and simulation-based verification
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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of Business, which collaborates closely with industry, government, and other key health system stakeholders. The research at CHIDS seeks to understand how digital technologies can be more effectively deployed
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receive a starting stipend of $67,000, health benefits, and $10,000 for research startup. In addition, the Fellow will have access to office space with computer, library access, and other privileges
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on the coupled thermodynamic, kinetic, and transport processes taking place in the cell. In addition, the successful applicant may contribute to the design of experiments for parameterization of material-level
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transient mathematical models for cell charge and discharge, based on the coupled thermodynamic, kinetic, and transport processes taking place in the cell. In addition, the successful applicant may contribute
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samples in a laboratory setting; analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Moving about to accomplish tasks or moving from one worksite to another. Ability
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on reports and computer screens, ability to type on keyboard for extended periods.The majority of work is computer-based and is non-labor intensive. Diversity Statement: The University of Maryland, College
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experience leading data processing and analysis efforts; Demonstrated ability to contribute to existing code and open-source software; Expertise in travel demand modeling software (e.g., Cube Voyager