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technologies and how their technology use impacts their relationships and well-being, and on the application of machine learning in family and developmental research. The Post-Doc will contribute to Dr. Sun’s
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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the possibility of an extension of up to one year from the initial start date, depending on funding. The salary will follow NIH guidance for post-docs (commensurate with years of experience) and will be prorated
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 367615 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 367495 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning