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. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures: Investigate and design optimal computing and communication architectures for hardware
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mechanics, optical components, thermal management, and tracking or control mechanisms. Use existing simulation tools (e.g., ray-tracing, CFD, thermal and structural solvers) to analyze optical performance
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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utilisant l'approche Bayésienne classique. Il explorera également l'apport des méthodes d'apprentissage de type SBI (Simulation-Based Inference) pour l'inférence cosmologique
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nanostructures for photonic integration in smart vision systems. In particular, he/she will be responsible for the theoretical study and development of codes and numerical models for computer simulation and design
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of integrated photonic antennas and metalenses. Responsibilities will include the fabrication process in the C2N cleanroom; the design and simulation of devices; and optical characterizations for design
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influence the acoustic signatures detected by fibre-optic DAS systems. Contribute to the development of a DAS signal simulator capable of interpreting acoustic DAS signatures under varying flow conditions
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in all-optical ultracold atom-ion hybrid experiments inside a multimode confocal cavity in the Department of Physics (Ref.: 533916), to commence as soon as possible for 12 months, with the possibility
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carried out at ISOM-UPM, but in close collaboration with the project partners that will provide state of the art transmission electron microscopy (IMEYMAT-UCA) and quantum nano-optics simulation and
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and technologies for increasing energy efficiency. Experience in performance analysis methods for photovoltaic systems, including the use of optical techniques (e.g., infrared thermography) and