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from academic degree recognition processes. Preferred factors: Knowledge of Machine and Deep Learning; Knowledge in data exploration and processing; Knowledge of Generative AI models n mainly LLM's
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those resulting from academic degree recognition processes. Preferred factors: High proficiency in the English language, with a C2 level qualification. Training in Project Management. Knowledge in
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, with the Jury evaluating the following sub-criteria: B. Interview, ENT (30%): B.1: Interpersonal skills: 30%; B.2: Demonstrated knowledge in the area in the competition 40%; B.3: Motivation 20%; B.4
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, ENT (30%): B.1: Interpersonal skills: 30%; B.2: Demonstrated knowledge in the area in the competition 40%; B.3: Motivation 20%; B.4: Language skills 10%. The Interview classification (ENT) will be
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for this competition. Candidate eligibility requirements: a) Mandatory requirements: Course frequency in the area of the competition;; b) Preferential factors: Knowledge of assembly and C programming languages
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to the Interview phase, with the Jury evaluating the following sub-criteria: B. Interview, ENT (30%): B.1: Interpersonal skills: 30%; B.2: Demonstrated knowledge in the area in the competition 40%; B.3: Motivation
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factors: Priority will be given to applicants: ▪ with knowledge in the area of mentoring programs and activities development and/or in areas related to the development of personal, professional and career