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. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
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to deeper areas - write a scientific paper on SDM of the five gorgonian species in shallow and deep areas - manage data produced The candidate will be integrated at the Laboratoire d'Ecogéochimie des
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research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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organization. The position focuses on epidemiology and modelling plant disease in fruit trees with a deep knowledge on the biology, epidemiology, modelling and management of diseases of fruit trees, accordingly
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capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
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, employing evidence-based learning approaches, virtual reality (VR), and other cutting-edge technologies to provide a robust platform for social workers to develop essential skills. By addressing
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research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic characterization of deep-water habitats, GIS
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this context, deep eutectic solvents (DES) appear to be a more sustainable alternative: low volatility, increased stability, high flash points, and promising performance. However, their use is still emerging and