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/bench-work research (60%): - Mouse handling, including ip injections, and tissue harvest. - Sample prep and analysis for flow cytometry or western blot - Independent data analysis and presentation
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analysis, institutional reporting, and financial oversight and monitoring of the institution and individual units. This position yields a high degree of autonomy and is viewed as a collaborator and advisor
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community partners (throughout all steps of the research project including: development of research questions, data collection, data analysis and visualizations, publishing manuscripts, and presenting results
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and produce evidence that supports real-world decision making. Responsibilities: Build and maintain end-to-end analysis pipelines in Python for causal and predictive modeling using large, micro-level
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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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Collection and Analysis (30%) - Accurately collect, analyze and interpret data - Evaluate and clearly communicate experimental results - Keep detailed records of experiments, of sufficient quality to allow
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leadership role in data collection, data analysis, and manuscript compiling for publication in peer-reviewed journals. The successful candidate will be expected to work closely with research collaborators and
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are represented in the development of research Assist by helping teams understand how to organize elements of research including recruiting participants for research studies Guide state, regional, and local
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will be involved in multiple studies. The successful applicant will be involved in the collection, processing and analysis of data acquired from quantitative motor tasks (e.g., gait initiation) using
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editing of primary human T cells Assess rates of transposon integration in primary T cells Assess functionality of modified T cells FACS panel analysis of gene edited T cells Design and oversight of new