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wireless signal processing and network architecture solutions that exploit Integrated Sensing And Communications (ISAC). The candidate will research signal processing and radio resource management algorithms
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focused business plan specifically intended on delivering a “new generation of research tools for system level evaluation of wireless integrated communication systems”. The R&D department is involved in
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/Qualifications Knowledges -Wireless communications with special attention to 4G and 5G. -Communications networks. -Spoken, read and written Catalan, Spanish and English. Technical skills -Programming of SDR
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optimization, as well as mitigation of channel distortion and other undesirable effects in order to guarantee reliable (RF and optical) wireless communication links. Artificial Intelligence for climate science
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FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Knowledge on microcontroller-based instruments and wireless communications. C and MATLAB or Python or R programming needed. Competencies and
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Science, Physics or Mathematics 20 Item nº2 Experience in digital signal processing, optimization, estimation, linear algebra and statistics for communications. 20 Item nº3 Knowledge of state-of-the-art wireless
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techniques and methods necessary for the execution of the project: - Knowledge of industrial communication networks; knowledge of mobile and wireless networks; training and knowledge of mathematical
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, advanced radio frequency (RF) systems, such as 5G-6G wireless communications and automotive radar, use the microwave and millimeter bands (3 GHz-300 GHz) as a means of communication and sensing, placing
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“new generation of tools for system level evaluation of wireless integrated communication systems towards the society digital transformation”. The R&D has extensive know-how in new concepts such as
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digitized fire safety system aimed at the intelligent management of critical underground transport infrastructures based on the use of low-cost embedded wireless sensors and advanced structural reliability