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Field
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-scale transport, energy, defence, and technology initiatives, there is a critical need for new AI-enabled approaches to understand, predict, and improve the behaviour of these multi-billion-dollar
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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by logging into their existing Workday employee account. Position Summary: The laboratory of Dr. Lucia Carvelli at the Stiles-Nicholson Brain Institute (http://www.ibrain.fau.edu/lucia-carvelli.php
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contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level variability; 4) collaborating with others at NOAA's
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cosmetic applications. Thus, the successful candidate will work mainly towards developing a cascade extraction and process scale-up together with other partners, contributing to the development, optimisation
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is available in the School of Mathematics at the University of Minnesota. The position is supported by the Burroughs Wellcome Fund to explore multi-scale dynamics in the brain, and will focus
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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metaproteomics approaches Analyzing large-scale multi-omics and clinical datasets to investigate individual metabolic responses to diet. The work includes applying advanced statistical and machine learning methods
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
ecosystem services. By synergistically combining passive/active multi-scale remote sensing data with mechanistic biogeochemical and hydrological models, this research aims to address critical knowledge gaps