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of thermal degradation. This research has enabled the development of effective kinetic models, based on parallel or sequential reactions. However, the actual operating conditions of pellet stoves
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of parallelized fibers around which a binding thread is helically wound, enables alignment of the fibrous core while ensuring its cohesion. This configuration promotes better matrix accessibility and more
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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technologies; knowledge of HPC parallel and highly performant clustered or distributed file systems architectures and their effective use and deployment for storage and management of research data lifecycles
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opportunities. In parallel, you will manage enquiries from external clients and partners, helping them find the right speakers and turning interest into confirmed engagements. Applicants should have experience in
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with ability to manage multiple complex projects in parallel Data analysis and reporting for senior audiences Flexibility and adaptability in fast-paced environments Ability to work effectively across
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photophysical properties. In parallel, the recent emergence of single-photon detector arrays (SPAD) provides direct access to photon arrival times with unprecedented resolution, opening new opportunities
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sound. By exploring reconfigurable coherent perfect absorbers and tunable exceptional points, it will open new routes for real-time acoustic wavefront control. In parallel, the outcomes of this PhD will
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regarding major fit and potential parallel plans for success. Provides information assistance and referrals to support services to support students in successful management of their college experience. Track
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 1 month ago
. This Research Fellow position focuses on deployment methodologies for heterogeneous RISC-V many-core systems using the Deeploy framework, addressing workload partitioning, parallel execution, and communication