26 parallel-and-distributed-computing-"DIFFER" research jobs at The University of Chicago
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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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volunteers. Some studies are designed to identify individual differences and risk factors for excessive use, and others to determine the effects of drugs on mood, psychomotor and cognitive performance, and
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of Chicago performs research encompassing computational biomedicine, biomedical data science and biomedical informatics. The Beaulieu-Jones lab within the Section of Biomedical Data Science focuses on machine
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and in disease. Our institute is unique in bringing together a diverse group of researchers who investigate these questions in different model organisms using state of the art techniques. The Brain
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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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. Responsibilities Assisting in maintaining and documenting animal health and welfare. Training mice to perform computer-controlled behavioral tasks. Assisting in collecting, maintaining and analyzing behavioral
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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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Department BSD RAO - Research Staff About the Department The Department of Radiation and Cellular Oncology at the University of Chicago is renowned for advancing the field of radiation oncology through pioneering new clinical approaches, the use of cutting-edge technologies, and impactful...
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graduate levels. The Department is home to world-class faculty who advance statistical, computational, and mathematical methodology across a broad range of scientific domains. Professor Claire Donnat’s