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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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; Professional experience in designing, building and using electronic systems, preferably working on radio frequencies / radio technology; Skills in the field of work in a research laboratory; Knowledge of English
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. Other requirements include Expertise in several areas among the following is desired: radio system modeling, electromagnetics, antennas, propagation, RF frontends, radar. Demonstrated expertise in channel
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Astroparticle domains, covering GW, Gamma & X-rays, neutrinos, CR, radio, optical. Within this project, Gammapy will be improved to enable multi-messenger data analysis workflows. Where to apply Website https
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nanometer CMOS and other related technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of
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desirable that the candidate has a strong knowledge in at least one of the following research directions: array signal processing Radio channel sounding, estimation, and modelling Integration design of SDR
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(Canadian Hydrogen Observatory and Radio transient Detector; CHORD). The deliverable product will be a cross-correlation power spectrum measurement, along with all the requisite statistical tests to establish
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technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of analog and digital signals. Our
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The successful candidate will be required to provide expert knowledge on computational astronomy applied to radio-interferometry, operating across several of the work packages of the ODISSEE project ((Online Data
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management Cognitive radio or adaptive communication systems, including dynamic spectrum access, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep