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decays and related physics object performance studies , development of the real-time analysis (RTA) in particular with ML/AI reconstruction on hybrid GPU/FPGA architecture for the electromagnetic
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
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conducted on an FPGA evaluation board. BINDING LEGISLATION Labor Code Law nº. 13/2023, of April 3, in its current wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2023-211366691 In
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primarily on embedded hardware systems utilizing Field Programmable Gate Arrays (FPGAs), System on Chip (SOCs), multi-core processors, and a range of custom hardware interfaces. This position reports
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Monitoring Drift Chambers (MDT), and in the Event Filter track trigger (EFTracking). The group applies novel Machine Learning tools and techniques to both analyses and trigger upgrades, and leverages FPGA and
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that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance
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design and development Hardware secure electronics Integrated circuit design (both ASIC and FPGA) Optoelectronics Sensor design and verification Sustainable electronics The successful applicant will be
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, PSIM, Proteus, LabVIEW, SketchUp, SolidWorks, etc. Knowledge of microcontrollers, STM32, FPGAs, etc. Knowledge of communication protocols such as I2C, SPI, Profibus, Modbus, CAN, MQTT, and HTTP
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of computing systems—driven by edge devices, AI accelerators, and domain-specific architectures—has created unprecedented hardware heterogeneity. Modern platforms combine CPUs, GPUs, FPGAs, ASICs, and emerging
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and decoding information from neurons Prior experience dealing with custom hardware, FPGAs, and using/writing APIs to communicate with the hardware Like to live in the intersection of biology, hardware