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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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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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Lithium Niobate. The successful candidate will contribute to the development, optimization, and scaling of fabrication processes for integrated photonics. Key Responsibilities: The selected candidate will
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digital de señal y lógica de control en tiempo real. - Optimización de uso de recursos, consumo energético y rendimiento temporal (timing closure. Implementation and optimization of hardware logic using
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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
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devices. The ideal candidate will have experience working with platforms such as Silicon, Silicon Nitride, and/or Lithium Niobate. The successful candidate will contribute to the development, optimization
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Intelligence Unit looking for talented and motivated candidates to work on applying AI techniques to model, predict and optimize energy systems. Join us at the heart of a mission that truly matters: transforming