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candidate for the UPC-2 research project "Multi-agent multi-objective agent-based modelling for automatic distributed optimization of cellular networks" at the Universitat Politècnica de Catalunya (UPC
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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Infrastructure? No Offer Description Mission: Optimize graph databases, including research, implementation, experimentation and dissemination tasks. Functions to be developed: Analyze the state of the art in
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Skills/Qualifications Technical Skills: Algebraic programming: Pyomo, AMPL, GAMS, etc. Phyton. Specific Requirements Knowledge: Energy Systems. Optimization model in energy systems and electricity markets
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the positioning and routing phases of nanoelectronic components. Functions to be developed: Assist in the study and implementation of mathematical and combinatorial optimization techniques. Cooperate in
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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Description OPTIMIZATION OF A NOVEL SOLAR PARTICLE RECEIVER BY MEANS OF HYDROTHERMAL TECHNOLOGY AND ARTIFICIAL INTELLIGENCE (HYDRAISOL-CM-UC3M) Funding entity: Autonumous Community of Madrid Phases
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electric mobility and smart energy management. We design and implement charging infrastructures and advanced energy optimization systems, combining engineering, proprietary software, and strategic vision