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Field
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contraintes strictes de consommation énergétique (quelques mW maximum) et de dissipation thermique, rendant l'utilisation des circuits conventionnels (FPGAs, DACs/ADCs) inadaptée. Les architectures actuelles
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, signal generators (including microwave), spectrum analyzers, soldering stations, and CAD software Experience with microcontrollers, FPGA programming, and LabVIEW Excellent communication skills. Ability
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of the digital ASIC-design flow is required: logic synthesis, timing analysis, power simulation, logic equivalence, DFT and/or P&R. Knowledge of FPGA-development is a plus. Knowledge of low-power designs is a plus
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associated cryogenic/RF electronics (e.g., cryo-LNAs, mixers, VNAs, spectrum analyzers), FPGA-based readout, or systems such as ROACH, RFSoC, etc.. Familiarity with EPICS, Bluesky, and beamline controls
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undergraduate students, and technical personnel at the ElectroScience Laboratory (ESL); Leads and advances research and development on systems requiring the use of Field Programmable Gate Arrays (FPGAs); designs
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. - Hardware acceleration for the development of Artificial Intelligence & Machine Learning techniques using FPGA or other embedded hardware accelerators. - Management, configuration and optimisation
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Engineering). Our partners and funding projects provide access to hardware testbeds, such as RISC-V vector processors, Fujitsu A64FX, AWS Graviton3, FPGAs, etc. As PhD student, 80% of your time be devoted
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++. Experience in RTL design and FPGA prototyping using VHDL/Verilog and/or HLS tools is highly desirable A research-oriented attitude along with a result-focused mindset. Ability to work in a collaborative
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Engineering). Our partners and funding projects provide access to hardware testbeds, such as RISC-V vector processors, Fujitsu A64FX, AWS Graviton3, FPGAs, etc. As PhD student, 80% of your time be devoted
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mitigate those that emerge. Analyze FPGA hardware and software interface specifications described via VHDL or Verilog to ensure it meets system requirements. Analyze software test and evaluation techniques