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(https://udall.umn.edu). The position will involve: (1) the collection, processing and analysis of data acquired from quantitative motor tasks (gait, gait initiation, bradykinesia, rigidity, etc.) using
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mathematical modelers and statisticians to perform data analyses. This work will include working with influenza viruses, rhinoviruses, and human coronaviruses. Responsibilities Include: Research- 75% • Perform
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for investigating the relationship between genome transformation and genome activities with the data obtained from public domains and/or collaborators, writing research proposals and reports, participating in
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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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for the measurement and analysis of blood pressure, peripheral nerve activity, and renal function in models of hypertension and polycystic kidney disease, and perform related data analysis (generating computerized
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and biochemical assays. Collect, analyze, and interpret experimental data. Maintain accurate and thorough research records. 10% Training and Supervision: Train new technical staff in standard
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; analyzing and interpreting data; creating publication quality figures summarizing data; assisting with manuscript and grant preparation; maintaining a legible and self-explanatory scientific notebook, and
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understanding of neuronal cell types and circuits in health and pathophysiology. You will be responsible for key aspects of the project, including data collection, analysis, interpretation, and presentation
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties 55%: performing high level experimental, theoretical, and numerical research and data analysis 20%: presentation
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for the Department of Urology. Expected to participate intellectually with faculty and graduate students. Participate in the design, implementation, and evaluation of research studies. Collect data and develop data