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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 11 days ago
to work in a large team alongside undergraduate and graduate students and project scientists. PREFERRED: Experience and fast-ion physics modeling & simulation, or, turbulence simulation and/or transport
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collaborators. The activities will include: • Electromagnetic modeling and numerical simulations (e.g., FDTD, FEM) • Design of metasurface architectures based on dielectric materials available at CRHEA
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fundamental physical model to understand the process of fire spread for wildfires, as part of the European Research Council grant FIREMOD: (https://cordis.europa.eu/project/id/101161183 ). This is a full-time
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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can be inhibited, leading to a form of topological delocalization. This phenomenon has never been experimentally tested. The proposed internship will contribute to the preliminary design and modeling
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radiative transfer in glacier surface energy balance models for large-scale simulations. This includes a new model representation of albedo for firn and for glacier ice, including newly exposed glacier ice
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
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effects of species invasions along environmental gradients and their consequences for community- and ecosystem-level responses, using native and invasive freshwater snails as a model system. The project
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skills; and the willingness to work in a large team alongside undergraduate and graduate students and project scientists. PREFERRED: Experience and fast-ion physics modeling & simulation, or, turbulence