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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 1 day ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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quantitative data and new qualitative data. The postholder will contribute to the development and coordination of the Race Equity in Care survey and qualitative interviews with carers, including supporting
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quantitative survey, including building and managing the survey platform, launching it for a four-week data collection period, and ensuring effective monitoring and data integrity throughout. The position also
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to identify biological signatures of sepsis and other acute critical conditions. Daily operations involve the processing of transcriptomic and genomic data integrated with longitudinal clinical variables
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performance on large-scale electronic health records. The fellow prepares manuscripts for high-impact journals and contributes data to federal grant proposals. Job Responsibilities: Applicants must possess a
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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displacement. Responsibilities Perform original and independent research on earth surface deformation assessment in Texas, the surrounding area of Texas, and elsewhere. Be involved in analyzing data collected
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data. The appointed Post-Doctoral Research Associate will lead the development and administration of surveys, derive appropriate theoretical and empirical approaches for analyzing survey data, and assist