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Field
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Laboratory (SISL) is seeking a motivated individual to support research and development tasks relating to software development, algorithmic development and data analytics for RF networks. This may include
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applications * Building data processing pipelines for standardizing and integrating heterogenous health data * Implementing advanced machine learning algorithms and generating testing results * Customizing user
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only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of
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that also overlap with security (e.g., algorithms in the field, cryptography) are encouraged to apply. As per CSRankings.org, WSU is ranked in the Top 20 in design automation, Top 50 in cryptography
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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. This may include writing and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept
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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize