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for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial information, applying hydrological models to simulate extreme floods
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Details Title Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods
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, environmental science, systems analysis, mathematics, operations research or a similar discipline, with interest in forests and forestry, and where quantitative modelling and/or optimisation formed a central part
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Engineering » Mechanical engineering Engineering » Systems engineering Engineering » Other Mathematics » Geometry Researcher Profile Recognised Researcher (R2) Application Deadline 1 Sep 2026 - 21:59 (UTC
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development and distribution of Siemens Work-In-Progress (WIP) packages where appropriate. Minimum Qualifications Ph.D. in Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a closely
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Forensics program and will have opportunities to collaborate with faculty across ASU, including the School of Mathematical and Natural Sciences, the Global Security Initiative, and other units engaged in
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3 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Mathematics History » History of science Researcher Profile First Stage
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and rigorous analytical modeling to answer foundational questions in supply chain finance, with links to resilience and sustainability, aiming at publication in leading journals. About us Our team
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials