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5 Dec 2025 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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5 Dec 2025 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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, Digital signal Processing (punctuation: 25) Item 03: Experience in: RF design for satellite comm, FPGA programming in VHDL., PCB design for RF (punctuation: 25) Item 04: Personal interview. The interview
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of the fundamental properties and applications of new materials, including nano-materials and 2D materials, with a focus on telecommunications, sensing, solar energy, and environmental monitoring
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: Electrical Engineering, Telecommunications Engineering, Computer Science or equivalent disciplines Desirable skills, interests and background: Wireless communication, embedded systems, signal processing, and
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, Mathematics, Physics, Neuroscience, Psychology, Medicine, or a closely related field. Previous experience with MRI and/or high-density fNIRS/DOT techniques. Strong understanding of signal processing and data
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 4 days ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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development Signal processing and control algorithm implementation Communication protocol design and optimization Cross-disciplinary teamwork Specific Requirements Collaboration with multidisciplinary teams
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging