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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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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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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
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/listPublicacionsAmbCategoria?categoria.id=803896 link to the application process (active during the application period): http://www.ub.edu/caiac/solBeca?idConvocatoria=50325 Where to apply Website http://www.ub.edu/caiac
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employment in the relevant State. If an applicant, at any point during and before the completion of the recruitment process, no longer meets all the necessary conditions, they will be required to file a
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----- 1 point If the degree provided belongs to the field of Computer Engineering or Electrical Engineering, it will be evaluated in full. If it belongs to any other area, it will be assessed with a 5% of
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criteria A specific committee will evaluate 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
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interpreting DESI data. Developing new tools and techniques for data processing and analysis. Exploring the large-scale distribution of galaxies and its implications for cosmology. This position is ideal for a
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict