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. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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California State University, Long Beach | Long Beach, California | United States | about 10 hours ago
Machine Learning, Mathematics Modeling, Artificial Intelligence, Data Science, High-Performance Computing, or Optimization Successful experience at the post-doctoral level or in industry, ideally including
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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of pioneering research, including Algebra, Topology, PDEs, Dynamic Systems, Mathematical Biology, Computational Mathematics, and Data Sciences, etc. For more information about the College, please visit https
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/systems theory and optimization is desirable. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a
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, knowledge and experience: - Fluency in written and oral English - In-depth scientific knowledge in: mathematical optimization (convex optimization, operations research, fixed-point algorithms,...), inverse
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] Subject Areas: Applied Mathematics, Computational Research Appl Deadline: (posted 2026/02/24 05:00 AM UnitedKingdomTime, listed until 2026/08/25 04:59 AM UnitedKingdomTime) Position Description: Apply
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out and participate in the research of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and
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mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or adaptive control) with a strong desire to make an impact on energy/power grids are preferred