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Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded
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characterization of various coupled silicon nitride nanoelectromechanical oscillators and measurement of reservoir computing based on programmed FPGA scheme, (ii) development of multi-physics models in both
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, instrumentation, electronics, FPGA technologies and signal processing. The position will involve strong interactions with national, European and industrial partners and will contribute to the scientific
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timing, deterministic control and high-throughput data acquisition in support of world-class scientific research. As a Senior FPGA Engineer, you will play a key role in designing the next generation of
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organisation. Where to apply E-mail [email protected] Website https://www.gsi.de/en/jobscareer/job_offers/job_offers/fpga-and-c-c-developer-f… Requirements Additional Information Website for additional job
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | 2 months ago
activity will focus on the development of an FPGA-based digital beamforming processing system for real-time radar, sonar or MIMO communication applications. The work will include the definition
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out research on applications of FPGA in optical communications and sensing. About the role: Post is a part of a newly funded collaborative project, FOCUS, between Aston University (with Prof. Andrew
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digital circuits. Experience with various techniques for high frequency characterization, e.g., lockin amplifier, oscilloscope, FPGA, and so on. Mandatory experience in programming (e.g. python or matlab
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. Where to apply Website https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias Requirements Research FieldEngineering » Communication engineeringEducation LevelBachelor Degree or equivalent
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, or approximate computing. Knowledge of hardware security, fault tolerance, dependable computing, or hardware reliability. Experience with GPU, FPGA, embedded, or specialized AI accelerator platforms. Experience