100 distributed-algorithms-"Meta"-"Meta"-"Meta" Fellowship positions in United States
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- University of Texas Rio Grande Valley
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- University of Cincinnati
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perform all required duties. Office/research environment; some travel and weekend work are required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio
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electronic systems with a focus on inverters and active filter-based harmonic mitigation, thermal performance, and control strategies. Develop and implement advanced control algorithms for real-time operation
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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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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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proposals for competitive funding agencies or organizations Works in the field gathering data -e.g., distributional data, measurements, species samples. Performs other job-related duties as assigned
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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algorithms, clinical decision support systems, and population health management platforms. Evaluate emerging technologies in clinical informatics and provide strategic recommendations for their adoption within
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are required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley. Other This is a trainee position subject to a specific time as agreed to by
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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learning, and data science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood