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identification and resolution through data collection, upgrade reports and interpretation. Collaborates with others to create, analyze and interpret reports to make data driven recommendations to leadership
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the mission-driven approach, supporting innovation and experimentation in the development and implementation of public policies for cities within the NetZeroCities project. 6. Coordinate working groups across
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roles in financial planning, budgeting, forecasting, and performance analysis. This program equips learners with the analytical, modeling, and communications skills needed to support data-driven decision
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.). Data Engineering & Computational Workflows – 35% Curate, preprocess, and analyze large environmental datasets
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GSB offers a culture of innovation and collaboration. Blending learning environments adds variety and complexity to your responsibilities. With the trend towards hybrid education models, you'll be
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers
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encourages best practices in both course design and technology, to support student success across all formats by providing support to improve course design and assist with ADA compliance, professional
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high