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: Proficiency in algorithm development for autonomous systems. Experience with ROS2, UAV simulation (e.g., AirSim), and real-time system integration. Strong programming skills in C++ and Python. Excellent
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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development. • Genotype-Phenotype Correlations in 9p-Related Syndromes: Investigating the genotype-phenotype correlations in 9p-related syndromes (e.g., 9p deletion syndrome, 9p duplication syndrome
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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Itai Ashlagi and the Stanford Impact Lab on Equitable Access to Education are seeking a diverse pool of applicants who wish to join a team-based, collaborative community and who value the different
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a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter