28 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at The University of Chicago in United States
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Department BSD MGC - Administration About the Department The Post-Baccalaureate (Post-Bac) program in Cell, Developmental and Molecular Biology at the University of Chicago is designed to provide
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working with high performance computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to work independently and
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related fields research program. Assists with study design, implementation, and data acquisition, including cognitive task programming, scoring, coordination of research participant study visits. Provides
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ideal for a recent master’s graduate who enjoys both coding and statistics and who is eager to learn cutting-edge methods in computational biology. Responsibilities Clean, annotate, and batch-correct high
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to numerous satellite sites of care across the region with the goal of providing care ‘close to home’ whenever feasible (https://pediatrics.uchicago.edu/). Our mission is to improve the health of every child
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of the finest endocrinology centers in the U.S. The University of Chicago’s endocrinology program has a reputation for progressive therapies and leading-edge research. Job Summary The University of Chicago’s
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countries to increase opportunities for discovery. We and our partners aim to integrate state-of-art data science with various types of statistical methods to translate large medical data from benchwork
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science course policies and community college certificate program development. Grounded in the study of implementation, scale, and sustainability, Outlier conducts applied research and evaluation in close
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epidemiology, microbiome, and epigenomics, the Institute has the common goal of improving human health outcomes. Another major goal of the Institute is to develop a multidisciplinary training program to equip
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. Experience: Conducting field, computer, web-based, and interpersonal interaction-based experiments. Preferred Competencies Familiarity with methods of experimentation. Implement creative and innovative