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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Institute of Photonic Sciences
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- ICFO - The Institute of Photonic Sciences
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optimization. Functions to be developed: Develop a simulator of communications satellite constellations (backend and GUI). Optimize communications satellite constellations. Write technical reports, magazine
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of the project “MATHEMATICAL RESEARCH IN STATISTICAL METHODOLOGY AND OPTIMIZATION FOR THE ANALYSIS AND EVOLUTION OF THE VEHICLE FLEET”. FUNCTIONS TO BE PERFORMED: to carry out research work in statistics and
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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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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