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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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using Python and MATLAB. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: developing machine learning algorithms for various research
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following: language processing model development machine learning algorithm training Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History Essay
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the atmospheric boundary layer Validation of satellite-based precipitation retrieval algorithms through the use of innovative physically-based or machine learning approaches. The use of remote sensing and modeling
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highly encouraged in this research and development area. Opportunities exist for applying these technologies for algorithm optimization to contribute to the above work. Candidates who have experience in
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, kilometer-scale Nature Run provides a more realistic simulation of all-sky radiances and serves as an environment for developing algorithms to assimilate active remote sensing data, such as that from radars