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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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. 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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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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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization