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of the evaluation will be publicized through a ranked list posted on the UTAD Campus Online Page (http://www.campus.utad.pt/bolsasinvestigacao/candidaturas ), with the candidate being approved notified via email. In
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://www.campus.utad.pt/bolsasinvestigacao/candidaturas ), with the candidate being approved notified via email. In the event that the selected scholarship holder withdraws, the final ranking list of candidates in
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/bolsasinvestigacao/candidaturas ), with the candidate being approved notified via email. In the event that the selected scholarship holder withdraws, the final ranking list of candidates in this competition may be
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: Douctor Roya Darabi Advertisement of final decision: The results of the evaluation will be released to the candidates by email to the email address indicated in the application process. Deadline
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: The results of the evaluation will be released to the candidates by email to the email address indicated in the application process. Deadline for applications and form of presentation of the applications
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will be announced via email, to the email address indicated in the application process. Deadline for applications and form of presentation of the applications: The call is open from 13-03-2025 to 26-03
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Supplementary member: Doctor Tânia Sofia Teixeira Lopes Supplementary member: Doctor Dzmitry Ivanou Advertisement of final decision: The results of the evaluation will be released to the candidates by email to
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to the candidates by email to the email address indicated in the application process. Deadline for applications and form of presentation of the applications: The call is open from 13/03/2025 to 26/03/2025 (until
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
the following: i) Curriculum evaluation, ii) Programming skills and iii) Robotics/Computer Vision experience with a respective weight of 40%/30%/30%. Composition of the selection Jury: Professors José Santos
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factors: - Completion of curricular units in Machine Learning and Deep Learning - Experience, at the level of preparatory research work f or obtaining the Master's degree in Computer Engineering, in Medical