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analyses Familiarity with AI/machine learning/deep learning frameworks Familiarity with Microsoft Office Software such as Word and Excel; Coding experience in R. Work with plant materials in dusty/dirty
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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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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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developing a genetic biocontrol agent for Spotted Wing Drosophila and performing assortative mating studies. Fly husbandry: keeping several fly lines alive and healthy 20% Fly behavioral tracking using machine
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scientific results and contribute to editing manuscripts; strong computer and organizational skills. About the Department The Masonic Cancer Center (MCC) is an NCI-designated Comprehensive Cancer Center
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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
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experience should involve preparing material for specialized analysis including PCR analysis. Experience processing and analyzing tissues. Experience working with laboratory animals. Basic computer skills are
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, interpret, and carefully follow experimental protocols. • Basic computer skills are necessary (Excel, Word, PowerPoint) with willingness to learn advanced software related to specific research activities
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment