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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought
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. 3: Motivation, with a weighting of 10%; B. 4: Linguistic skills, with a weighting of 10%. The Interview classification (ENT) will be obtained by applying the following formula: ENT = (B.1. × 0,2) + (B
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the area in the competition 40%; B.3: Motivation 20%; B.4: Language skills 10%. The Interview classification (ENT) will be obtained by applying the following formula: ENT = (B.1. × 0.3) + (B.2. × 0.4) + (B.3
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parameters will be considered, with a weighting of 40%: 1. Interpersonal skills (30%) 2. Knowledge demonstrated in the field of the competition (40%) 3. Motivation (20%) 4. Language skills (10%) The Interview
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, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological convictions and trade union
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origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological
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, territory of origin, language, religion, political or ideological convictions and trade union membership. Declaration of Honor Academic qualifications I, (full name), candidate for the vacancy for the award
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, education, social origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political
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, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological convictions and trade union