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to address grand challenges of Robotics, Global Food, Environment, Brain Conditions, and Cancer Clinical Trials. The University of Minnesota’s MnDRIVE initiative on Robotics, Sensors, and Manufacturing
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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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. 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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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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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
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states