11 image-processing-and-machine-learning-"RMIT-University" Postdoctoral positions at University of Maryland
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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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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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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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to sit for an extended time and operate standard office equipment and keyboards. • Ability to review and prepare data on reports and computer screens and engage in extensive reading. Diversity Statement
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analytical techniques and machine learning. A primary task of the post-doctoral researcher will be to lead model development and enhancement efforts within the UMD NCSG-CGIS team. The goal of this project is
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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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, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human
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, cryogenic systems, wideband gap materials, and Machine Learning based electrothermal analysis of devices. The Postdoctoral Associate will perform research under the direction of PIs – Dr. Samuel Graham and Dr
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-quality research, innovation, and learning, preparing our students to create innovations that will addressthe 21st century Grand Challenges (e.g., energy, environment, security, and human health) and
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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