Ml-Driven Fpga Firmware For Cms Muon Trigger With Versalaie
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UNIOVI invites applications for a First Stage Researcher in Spain to develop pattern recognition algorithms with ML techniques and to translate them into firmware for Versal FPGA platforms. The role focuses on advancing CMS Level-1 muon trigger systems through data-driven methods and hardware implementation.
The position requires a physics/engineering background, involvement in research projects, and a demonstrated ability to work on interdisciplinary teams within Horizon Europe frameworks.
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