301 algorithms-"Multiple"-"Prof"-"Simons-Foundation"-"University-of-Wisconsin-Madison" positions at University of Washington
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As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding...
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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume
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; decision-making; and management of natural resources. • Developing appropriate statistical algorithms for updating model parameter estimates. • Analyzing data and producing interactive graphical
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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hypotheses to be tested. This position is responsible for independently designing and implementing multiple research projects to test the hypotheses in human subjects. This position is constantly required
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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for study sessions and documentation of experimental results. Job Description Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for
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, assess, and improve results and methods. • Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. • Document code and analytic