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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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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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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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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
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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%) Code in Matlab or other program for stimulus generation, presentation, and analysis, as well as data analysis. (25%) Prepare data for publication and presentation via peer-reviewed journal articles and
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feasibility through Life Cycle Assessment (LCA) and Techno-Economic Analysis (TEA), integrating experimental data into process models and evaluating environmental and cost impacts of developed technologies