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of techniques for countering information maneuvers, differences in online harms and influence campaigns across countries, geo-spatial differences in online harms. Successful applicants will need experience in
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social interaction and their relation to developmental language and social outcomes. The project includes studies across two different locations. The primary location for this position is in Seattle, with
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate
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not intended to be a complete list of all responsibilities, duties, and skills required. Management reserves the right to revise the job or require different tasks to be performed as assigned to reflect
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projects focused on studying the molecular mechanisms of arrhythmias with emphasis on conduction system diseases. To identify these pathways, the postdoctoral fellow will use mouse models for different
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations