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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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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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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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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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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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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
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can assist with tagging, vaccinating, weighing, downloading calf sensor data, dehorning calves, and other research projects. You do not need to have experience handling animals to have this job