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the contracting phase, including those resulting from academic degree recognition processes. Preferred factors: Knowledge in advanced Artificial Intelligence models for optimization applied to datasets using
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, including those resulting from academic degree recognition processes. Preferential factors: Knowledge of embedded systems and advanced microprocessors’ architectures. Admissibility requirements: It is
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. Preferential factors: a) Consolidated knowledge in Data Systems. Admissibility requirements: It is essential, under penalty for not being admitted to the competition, to attach the following documents
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the deadline for applications is required, in the contracting phase, including those resulting from academic degree recognition processes. Preferred factors: Knowledge of Machine and Deep Learning; Knowledge in
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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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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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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