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models). Climate emulators for wave and sea level simulations. Use of Linux-based numerical computing servers. Specific Requirements Knowledge: Coastal morphodynamic processes at different time scales
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
implications of decarbonization pathways. The postdoctoral associates will collaborate with an interdisciplinary team of economists, energy / land / water / air / infrastructure modelers, climate scientists
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
implications of decarbonization pathways. The postdoctoral associates will collaborate with an interdisciplinary team of economists, energy / land / water / air / infrastructure modelers, climate scientists
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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soil health in coastal regions to gauge vulnerability within climate change and rising sea levels. ● As a PDRA, you will employ high-resolution coastal modelling to quantify the effect of sea
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measurements using advanced instruments mounted on drones and on a helikite. Two field campaigns will take place at Utö Atmospheric and Marine Research Station in the Baltic Sea area. The measurements will
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
permanently shadowed regions (PSRs) of the Moon, and act as key drivers of chemical complexity on Ocean Worlds and small bodies. To interpret remote-sensing observations from current telescopes and spacecraft
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Internal Number: 277925 Minimum Education and Experience: The candidate must have a Ph.D. degree in an area relevant to climate physics, atmospheric or ocean science, climate change, natural hazards, impact
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development using sea urchin embryos and mammalian cells as models. The successful candidate will contribute to a collaborative project investigating the evolutionarily conserved functions of microRNAs and
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI