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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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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
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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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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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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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a particular focus on the contraction phase of T cell responses. This position seeks to elucidate how innate immune sensors detect dying T cells, and how this process influences the resolution
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related to water resources engineering or fluid mechanics, such as flow measurement, data loggers, telemetry, and environmental sensors. Demonstrated experience with fabrication or shop tools. Demonstrated