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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
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cell technology. Experience with RNA sequencing, gene editing (CRISPR-Cas9), single particle imaging, and large data set analysis. Proficiency in programming languages like R, python, Matlab Online
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quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of quantitative imaging methods
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study in Parkinson’s disease. Opportunities will be provided to learn about clinical research, behavioral and neuropsychological assessments, as well as image processing in collaboration with our image
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of proteomics. Research interests should be compatible with other current strategic areas of expansion including: Chemistry of Life Processes; Complex Biological Systems & Quantitative Biosciences