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Field
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include the development and implementation of control algorithms on FPGA platforms, experimental testing using Hardware-in-the-Loop (HIL) setups, data analysis, and preparation of scientific publications
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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optics, ideally, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute collaboration project, very good written and spoken English language
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hardware design and verification (HDL: VHDL/Verilog, simulation tools). · Hands-on experience with FPGA prototyping or hardware/software co-design is highly desirable. · Good communication
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optics, ideally, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute collaboration project, very good written and spoken English language
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son necesarios para este puesto. Experiencia en diseño de circuitos digitales con VHDL. Strong knowledge of embedded systems programming. Programming in C/C++ and/or Python. Low-performance wireless
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. Conocimientos en entornos de programación para control de convertidores: C/C++, Python, VHDL/Verilog para FPGAs o microcontroladores. Habilidad con software de diseño de PCBs como Altium Designer, KiCad, OrCAD o
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strategies for programming, modeling, and integrating reconfigurable/spatial architectures, such as FPGAs and ML accelerators, within heterogeneous ICT ecosystems.Reconfigurable and Spatial hardware, such as
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, are also required for this position. Experience in digital circuit design with VHDL. LanguagesENGLISHLevelExcellent LanguagesSPANISHLevelExcellent Research FieldEngineering » Electronic engineeringYears
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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some