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Qualifications: Education: BS in Geospatial Data Science, Geographic Information Science, Computer Science or close equivalent. Experience: Experience developing and optimizing algorithms. Extensive programming
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fall and spring semester, the Lecturer will teach at most three sections in our core Computer Science curriculum, including introductory and advanced programming, computer systems, computer algorithms
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, campus environment. This MAS will leverage cutting-edge autonomy algorithms and stacks developed at UMD and employ 5G networks for command and control. This project is funded by an entrepreneurial donor
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services benefits information from partner organizations that the Hub can distribute/amplify Identify Hub and partner organization channels to distribute and amplify consumer information throughout Maryland
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electrical distribution and central utility plant electrical systems and equipment. Oversees the design and replacement/upgrade of electrical equipment and systems. Acts as the project manager for electrical
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validating science algorithms, post-flight calibration and validation, developing field observation databases, science data product development and the fusion of multi-sensor data. There is also the
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Design System. Experience with Git and distributed version control systems. Experience working with (and managing) an application development team. Experience managing and maintaining relational databases
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that address the grand challenges of our times, and of importance to the Smith School. These include, but are not limited to, artificial intelligence, including algorithmic bias, the spread and mitigation
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Professor rank) in one of the Smith School’s strategic focus areas including: Artificial intelligence (AI) applications in operations management and business analytics; algorithmic bias and responsible AI
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and Clark School staff to distribute these stories via university, school, program, and partner websites, publications, videos, and social media. Prepare media advisories and develop and pitch story