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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Background and description of tasks Our group develops new single-cell multiomic methods to characterize microbial
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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leading experts working at the intersection of technology, policy, and research. Since its launch, KGI has produced influential research-backed analyses of platform governance, algorithmic design
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breeding programmes. AutoTraits is tackling a major bottleneck in crop development: slow, costly manual phenotyping. By combining cutting-edge algorithms with flexible, hardware-agnostic data capture
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-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is common cross-species decision algorithm for leaving and what that algorithm is. You will
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 19 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
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of the center's researchers. Integrate precipitation data to support the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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. Integrate precipitation data with collaboration in the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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, quantitative analysis, performing medium-scale microscopy experiments, Python or Matlab programming, synthesizing information from the published literature, and use and development of machine learning algorithms
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research