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of successful collaborations. Computer competency and experience with Google and Microsoft Word, Excel, PowerPoint, Publisher and other office and management software. Demonstrated program management
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-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human
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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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-machine interface (to include augmented and virtual reality [AR/VR]), human-systems integration, and augmenting human performance Computational neuroscience and its links with machine learning and
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learn new technologies. Demonstrated ability to systematically analyze and solve complex technical problems. Demonstrated ability to write and maintain scripting that manages IT systems, such as Shell
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; Radiative transfer; Artificial intelligence and machine learning in Earth Observation; The use of remote sensing for urban, coastal, or hydrological applications. Responsibilities: We are seeking
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, and Central offices i.e. AP, AR, ORA, etc.) Posses critical thinking skills, demonstrated the ability to solve problems, willingness/ability to learn through provided trainings and take initiative
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sensing science, machine learning, ecosystem structure and biomass, ecosystem modeling, and studies on habitat/diversity, among others. Technical expertise in lidar (terrestrial, airborne, or spaceborne
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Category: Staff University Authorized FTE: Unit: BMGT-Dean-Office of Digital Learning Hiring Range Minimum: Hiring Range Maximum: Campus/College Information: Founded in 1856, University of Maryland, College
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specialists, and customer support operating in an Agile environment. Our office is in College Park near the University of Maryland, easily accessible by DC Metro, MARC train, bus, car, and bike. Local employees