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Field
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algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with computer applications to
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in imaging systems and reconstruction algorithms. Designs and conducts computational studies, analyzes simulated and experimental data, and collaborates with multidisciplinary research teams. Prepares
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Location SAINT LOUIS, MO 63110 Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing
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an undergraduate or graduate degree program in computer science, data science, biology, genetics, bioinformatics, or a related field. Enrollment may be outside the University of Minnesota at a different institution
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for drug target discovery, computational biology, advanced bioinformatics, and novel AI algorithms for identifying drug targets in complex diseases such as chronic kidney disease, idiopathic pulmonary
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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas
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open to generate a pool of qualified student applicants for available positions during the semester. Tutor students in computer science courses, including programming, algorithms, data structures, and
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group led by Dr. David Klinges in the Department of Ecology, Evolution & Natural Resources. Our work combines computational modeling, field studies, and laboratory experiments to understand how
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routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
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quantitative genetics and maize breeding. -Utilizes skills and knowledge in these and other areas to complete research projects leveraging new data extraction and analysis algorithms and connecting