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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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business professionals who devote our talents to developing quantitative models of financial markets and using them to trade our systematic hedge funds around the world and around the clock — and have done
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programme, please see https://www.ntu.edu.sg/spms/about-us/mathematics/grad/phd A limited number of scholarships covering tuition fees and stipend for the four years of the degree programme is available
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Posting Details Position Information Position Title Assistant, Associate or Full Professor, AI & Society Department Department of AI and Society Posting Number F250062 Posting Link https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents the majority of immune cell
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processing workflows including QC and reproducibility metrics * APIs and packages supporting the development of new algorithms spanning large * language modeling of DNA and RNA sequences, and algorithms
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image diagnosis. The expected outcomes are development of a software prototype, technical advancement in medical image diagnosis and the creation of novel AI algorithms. Potential project benefits