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Generación de Conocimiento 2024 by the Spanish Ministry of Science, Innovation and Universities Introduction to the vacant position: The Biomedical Signal Processing and Interpretation (BIOSPIN) Group
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. Excellent academic record. Proficiency in Matlab and signal processing. High proficiency in English. Strong motivation to pursue a PhD. Offer Full-time predoctoral research position at UPV. One-year contract
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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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of accepted and rejected candidates (fourth section of the call) will not be taken into account. At any point during the process, candidates may be required to present the originals of the submitted documents
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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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derived from paramagnetic ions, as well as the modelling of molecular diffusion processes through membranes, by means of molecular dynamics studies. Different parameters that will affect the relaxivity
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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
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processes in the spatial-temporal patterns of tree-ring water isotope series”. Forests regulate the water cycle through transpiration, and understanding which water sources trees use is crucial in the context