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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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machine translation relying on state-of-the-art deep neural models and architectures (LLMs). The work is to be carried out in the context of the Horizon Europe project IDEAL (Inclusive Democratic Engagement
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- ENGINEERING COMBINED SENSING AND TELECOMMUNICATIONS ARCHITECTURES FOR TECTONIC AND INFRASTRUCTURE CHARACTERISATION (HORIZON-CL4-2024-DIGITALEMERGING)". Research group: GROC-UJI - Optics research group
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of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals heterostructures, with
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devices dedicated to implementing next-generation QKD system protocols (high-dimensional systems, stable and robust architectures, etc.). Share this opening! Use the following URL: https://jobs.icfo.eu