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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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the position, the candidate must have an internationally recognized track record in synoptic scale dynamic meteorology and in numerical weather prediction methods and/or multi-scale meteorological modeling and
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quantifying inclusion size and morphology and assessing the influence of surface features such as oxides, wire marks, and indents on stress concentrations. These data will inform numerical and analytical models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts
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. While EMT simulation provides the required modelling detail, existing workflows do not scale efficiently to national and regional transmission systems.Our Vision: make EMT-based stability assessment
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collaboratively building new generations of world leading simulations. As such, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications
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of a vast and widespread amount of data are creating new economic and social opportunities in various fields. These developments are also posing numerous new scientific challenges for the optimization