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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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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
. Within this model, People & Culture currently requires a minimum three-days in the office; flexibility on scheduling of these three days is subject to operational demands. There will be, at times, a
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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science » Programming Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Engineering » Electrical engineering Mathematics » Applied mathematics Mathematics » Statistics
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
to scientific publications and project reports Your profile # Completed university studies (Master/Diploma) in the field of Physics, Applied Mathematics, Computer Science, Computational Modeling and Simulation
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39157 Job Number SE179924 Position Information Department or Unit Name Physics Position
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Mathematics or a related field and a preferred minimum of three years post-doctoral experience. The candidate must have skills necessary for research excellence and impact in computational modelling
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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tools, such as physics-informed climate and weather predictive models, and trustworthy datasets for training and analysis. Its work aims to improve prediction capabilities and understanding of climate