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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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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
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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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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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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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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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. Responsibilities-100%: • Assists in maintainance of cell types in culture and induction of different cell death modalities • Conducts in vitro experiments using different types of cell death modalities and sensors
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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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analyzing precision agriculture trials integrating UAV, multispectral, and hyperspectral imagery, and ground-based sensor data - A proven ability to develop and maintain effective working relationships and
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation