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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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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours 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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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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. 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
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modelling for planning structural heart interventions. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167557384 Requirements Research FieldEngineering » Biomedical
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced