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intelligence models (LLMs) in multi-GPU environments. Preparation of technical documentation, best practices for development and operation. Where to apply Website https://sede.uvigo.gal/public/catalog-detail
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Description Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied to multi-technique data. Collaborate with
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) Item 03: Personal interview. The interview will be conducted only with those 3 candidates who, in the sum of the merits, reach a minimum of 50 points. (punctuation: 15) Additional Information Benefits
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only with the candidates whose sum of merits reaches a minimum of 50 points (punctuation: 15) Additional Information Benefits 1700 € (including the apportionments of extra payments) Selection process
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with 2 candidates who, in the sum of merits, reach a minimum of 50 points (punctuation: 15) Additional Information Benefits 2000 € (including the apportionments of extra payments) Selection process MERIT
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) Item 04: Specific education related to the position (punctuation: 20) Item 05: Interview. The interview will be conducted only with the candidates whose sum of merits reaches a minimum of 50 points
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processes (punctuation: 50) Item 04: Personal interview: it will be conducted only with 3 candidates who, in the sum of merits, reach a minimum of 50 points. (punctuation: 15) Additional Information Benefits
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gender perspective (punctuation: 15) Item 05: Personal interview. The interview will be conducted only with those 5 candidates who, in the sum of the merits, reach a minimum of 50 points (punctuation: 15
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communication, dissemination and outreach activities, 5) B1 driving license. (punctuation: 55) Item 03: Personal interview (3 candidates maximum). Only the 3 candidates who, in the sum of the merits, reach a
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stays in the field (punctuation: 50) Item 04: Personal interview. The interview will be conducted only with those 3 candidates who, in the sum of the merits, reach a minimum of 50 points. (punctuation: 15