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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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solutions Collaborate with academic teams to support joint/double diploma programs and international teaching initiatives Ensure Moodle is effectively tailored to the needs of multiple university partners and
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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large part of the project is dedicated to better integrate automation into multiple facets of cyber-range operation, including the federation of infrastructures to deploy complex scenarios in multiple
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relying on incomplete CMDBs [Kie23]. Thus, multiple tools are used by experts with strong knowledge and previous experience. The main objective of the project is to automate this human-based cognitive
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on developing robust, scalable applications that bring our research to market and deliver value to our partners. In this role, you will collaborate closely with researchers to understand complex algorithms and
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in-orbit servicing while exploring water extraction for a circular space economy. SpaceR is developing an RL algorithm for satellite rendezvous, docking, and liquid transfer, with tests conducted in
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception