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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
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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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/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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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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----- 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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the field. Your tasks Design and fabrication of microfluidic devices and/or microreactors Materials processing in microfluidic environments. The candidate needs to have expertise in nanomaterials
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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. Curricular merits
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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