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level of motivation for research, attention to detail, independent critical thinking, and writing skills Languages skills: fluent in English Desired skills include experience with flow cytometry, models
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Infrastructure? No Offer Description At Université Gustave Eiffel (Champs-sur-Marne, Paris region, France), we have an open call for a PhD position titled “Pore Network Modeling of Multiphase Flow in CO₂–Water
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to replicate floating wind turbine farms, with particular attention to the aerodynamic modeling of individual turbines and wake modeling. The objective of this activity is to assess the effects of interactions
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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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focuses on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www
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system at Global Modeling and Data Assimilation Office (GMAO) has been supporting NASA research and Earth Science missions. Among the millions of observations assimilated at each analysis cycle in the GEOS
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are focused on areas with high noise exposure: areas near the runway or final approach or early departure routes. Current noise models only consider a free propagation path from the sound source towards
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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way