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or any other procedure is planned: interview, tests, etc ... Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request. Finally
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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
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; 2) English proficiency (punctuation: 30) Item 02: 1) Knowledge in signal processing; 2) Knowledge in digital communications in general, and multiantenna multicarrier in particular; 3) Knowledge and
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the applications using the following criteria: Grade point average of the academic transcripts from the applicant's bachelor's or master's degree studies (or 1st and 2nd cycle): up to 5 points out of a total of 10
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
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: Grade point average of the academic transcripts from the applicant's bachelor's or master's degree studies (or 1st and 2nd cycle): up to 5 points out of a total of 10. Curricular merits: up to 1 point out
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experience related to the position in artificial intelligence application programming and network programming (punctuation: 35) Item 04: Specific education related to the position, see previous point
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to disadvantaged groups may voluntarily indicate this in the corresponding box provided on the application form of the job offer. Once the selection process has been completed, in the event of a tie between
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Computational-Experimental material Engineering of Thermal Spray coatings”, partner of Universitat de Barcelona, for the characterization and processing of novel materials developed in the project for new highly