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Field
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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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models Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems Strong in Python programming and other comparable programming
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appropriate IRB and HIPAA requirements. Develops and applies all aspects of the use of natural-language processing (NLP) in software. Develops and applies algorithms on data in NLP areas. Performs research and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days 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
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transients. Characterize the Roman Point-Spread-Function of image mosaics for image subtraction. Optimize the PSF-fitting photometry for both RAPID and RISE pipeline. Optimize the photometry algorithm in
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optimize algorithms for data-intensive research. Deploy and maintain systems in both simulated environments and on physical hardware. Diagnose and resolve complex system and software issues. Execute feature
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. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The objectives of this research are to develop advanced ocean color algorithms that take advantage
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new and existing tools to interpret, analyze, and visualize multivariate relationships and trends in data Create databases and reports, develop algorithms and statistical models, and perform statistical
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following department/specialty algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within