770 parallel-computing-numerical-methods uni jobs at The University of Chicago in United States
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constituents to programs and events. In this capacity, the Sr. Associate Director co-manages two assistant directors, events and program marketing. The role requires a strategic thinker skilled in devising data
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technology-based solutions, or determine computational strategies. Designs and perform formal evaluation of informatics methods and products. Manipulates publicly accessible, commercial, or proprietary genomic
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of malignancies, blood disorders, and experimental therapies. Job Summary Under supervision, the Research Technologist will be involved in a cutting-edge basic and translational cancer research program that
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and assisting with interpreting results. This will involve 'hands-on' work in the wet lab environment. Train other staff in experimental methods and assist external collaborators with technical
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data-collection opportunities for Professors Risen and Levine, and other HOPE LAB members. Develops methods for recruitment of research participants with more specialized samples as needed, including
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techniques or methods. Assists with building and standardizing protocols, as needed. Work independently in an organized, detailed manner within a collaborative team environment. Support the goals of the lab by
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, a passion for innovation, and an interest in applying computational methods to translational cancer research. This at-will position is wholly or partially funded by contractual grant funding which is
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minimal oversight. The job functions as the manager of the postpartum remote patient monitoring program at the University. The job performs routine assignments related to scientific research projects
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plans for a department or program. Directs, monitors and evaluates marketing communication and research programs. Maintains departmental priorities, allocates resources, and determines project direction
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Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and