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belongs to the Department of Engineering Sciences and Mathematics. It is an institution with many successful teams and recognized educational programs. We work closely with companies/industries in both
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large-scale economic experiments and surveys, analyze rich datasets, and build microeconomic models that explain behavior and predict the impact of different policies to improve the societal acceptance
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decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which electricity markets to focus. In this PhD trajectory, we
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. Solid programming skills in Python, MATLAB, or Julia and knowledge of standard optimization tools (such as CasADi or Gurobi). Strong skills in mathematics, excellent capacity for mathematical formalism
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sanitation industries. Working with our established industry partners, you'll implement your innovations in real operational environments, seeing your research make tangible difference while building
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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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microeconomic models that explain behavior and predict the impact of different policies to improve the societal acceptance of market mechanisms and market transactions. You will work closely with the project
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2 Sep 2025 Job Information Organisation/Company Arts et Métiers Institute of Technology (ENSAM) Department Process and Engineering in Mechanics and Materials (PIMM) Research Field Mathematics
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units for (1) design-based estimation of population parameters, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental
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. Identify the key factor affecting texturization processes and study the relationship between food structure and textural characteristics at different scales using spectroscopic, microscopic, rheological