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) Degree courses: integrated master's degree, master's degree or a PhD. b) Non-conferring degrees courses: non-degree courses integrated into the educational project of a higher education institution
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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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and Technology, FCT, I.P., under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering (Medical Informatics), or related areas. Recipient category: Bachelors, enrolled
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, FCT, I.P., under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering (Medical Informatics), or related areas. Recipient category: Masters, enrolled in the course
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made on the 23rd of each month, through bank transfer to the Bank Identification Number of the fellow identified in the contratualization process. Other components of the research grant: Define other
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for an accumulated period of 2 consecutive or interpolated years; c) Proof of academic qualifications completed by the deadline for applications, including those resulting from academic degree recognition processes
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Identification Number of the fellow identified in the contratualization process. Other components of the research grant: Define other components of the scholarships, as provided for in Article 18º of the FCT
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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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, through bank transfer to the Bank Identification Number of the fellow identified in the contratualization process. Other benefits: Reimbursement of Voluntary Social Insurance, if the candidate chooses
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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