59 parallel-computing-numerical-methods Postdoctoral positions at University of Minnesota
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inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: • A Doctorate Degree (PhD, which is completed within the last 3 years) in relevant
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-invasive measurements of oxygen levels within encapsulation devices containing insulin secreting cells, both in vitro and in vivo, using custom-built 19F-MR methods and equipment. Responsibilities: 90% MR
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, Epidemiology, Computer Science, or related field -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA
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development of immunomodulatory inhibitors as drug leads, target validation and assay development for novel chemotherapeutics, method development for Cryo-EM, and mechanistic studies of signal transduction in
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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enthusiasm for learning. Preferred Qualifications: • Predoctoral or postdoctoral research experience using one or more of the following methods: immunoblotting, flow cytometry, mouse models of cancer
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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
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leverages the novel single-asperity nanoscratch method and other advanced AFM modes to visualize the mechanism of nanoplastic release and to identify unique nanoscale properties that result in health impacts
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. Essential and Other Functions: 80% Laboratory Research Cell culture, microscopy, immunoblotting, qPCR, cloning, experimental design, data analysis and recording primary data and methods used. 10% Research
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) program. The role offers opportunities for professional development, including leading large-scale analyses with advanced statistical methods and leading manuscript preparation to enhance your research