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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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of artificial intelligence technologies, LLMs, digital twins, and data processing. (punctuation: 15) Item 03: Previous experience and a CV relevant to the project and in the management of European projects
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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or equivalent Specific Requirements Item 01: University Education (punctuation: 35) Item 02: Specific training in quantum mechanics, quantum information processing and quantum communication (punctuation: 25) Item
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to the geospatial data processing for the automated creation of digital models. Preparation of associated scientific and technical documentation, including articles, reports, and conference papers Where to apply
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of the merits, reach a minimum of 50 points (punctuation: 15) Additional Information Benefits 650 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website
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) Additional Information Benefits 500 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web
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will be interviewed. (punctuation: 15) Additional Information Benefits 1200 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job
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€ (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web/convocatoria/public/show/1745 Work Location
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Information Benefits 1592 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web/convocatoria