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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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western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep detailed records of all
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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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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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; 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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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