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complex decisions independently, and committed to advancing health equity through community-based engagement and education. Key Responsibilities Coordinate, develop, implement, and train internal and
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University of California, San Francisco | San Francisco, California | United States | about 11 hours ago
classification at UCSF. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department
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their applications. Using machine learning and related tools to enhance quantum memory advantages in stochastic simulation. Using advanced tensor network techniques to enhance the modelling of complex, memoryful open
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of no-till farming and complex crop rotations in South America, with emphasis on Brazil (40%). Perform statistical analyses on datasets provided by the fellow (20%). Participate in staff meetings and present
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wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role: 5G networks are a key enabler for the economy and society’s growing
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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. The appointee will work on a project focused on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make
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team resolving complex issues and providing specialist advice. 2. Build and maintain effective mutually beneficial relationships from the initial employer enquiry to proactively seeking feedback from key
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dissemination of research findings and to enhance the rigor, relevance, and accessibility of research outcomes for diverse populations. All application materials must be submitted through Interfolio: https
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, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis