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capabilities such as incorporating new sensors and redesigning the hardware and software prototype. This position is a temporary position that will last 30 weeks from the start date. The University of Minnesota
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robust geospatial software tools for automated processing of satellite imagery and other remote sensing data. This includes implementing algorithms for geometric corrections, radiometric calibrations, and
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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Previous Job Job Title Assistant Professor Robotics, Sensors, and Manufacturing in Sustainable Agriculture and Environmental Management Next Job Apply for Job Job ID 369613 Location Twin Cities Job
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Duties: (25%) Conduct field sampling of urban soils across the Minneapolis-St Paul metropolitan area and in out-state Minnesota. (20%) Prepare soil samples for analysis by proximal soil sensors (pXRF and
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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document algorithms to detect and quantify disease-relevant patterns. • Contribute to both in-house and open-source software initiatives. Research Communication & Collaboration (20%) • Assist with
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environmental data with sensor networks, lab sample processing, and data entry. Position is based in the Twin Cities with travel to research sites in Sherburne, Ramsey, Anoka, and Becker counties. (90%) Field
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• Experience in flow cytometry Job Description: This position seeks a highly motivated postdoctoral fellow to investigate how cell death sensors regulate immune responses, with an emerging interest in the retina
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and