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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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FACS, MACS, ELISA and bead array techniques. Working experience in stem cell biology. Proficiency using a computer and word processing, spreadsheet and image processing software. About the Department
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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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comments pertaining to quality of specimens and/or interpretation of results. 20% - Process tissues collected for histological analyses, analyze histological images, and perform molecular studies such as
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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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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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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