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Monitoring”, G1 - PT2030-SIID -I&D Empresarial – Copromoção, under the following conditions: 1. Scientific Area: Computer Engineering. 2. Admission Requirements: Master's degree in Computer Engineering or
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Area: Computer Science 2. Admission Requirements: Graduates (Licenciatura) in computer engineering or related area, with experience in Machine Learning/Deep Learning methods/techniques. 3. Project
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Computer Engineering (or similar). Preference is given to candidates who are integrated in the fields of Electrical Engineering – Computing or Electrical Engineering – Information Technologies, and with
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% for criterion 2. 9. The evaluation process may include an interview with the candidates or a portion of them, to be selected by the Evaluation Panel, which will have a maximum weighting of 20%. 10.Composition
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scoring of 80%. The evaluation process may include one interview, to all or some candidates selected by the panel, weighing a maximum of 20% of the total score. 10. Composition of the Application Evaluation
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% 9. The evaluation process may include an interview with the candidates or a portion of them, to be selected by the Evaluation Panel, which will have a maximum weighting of 20%. 10
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in: Collecting images, video, and photography for the production of science communication materials; Direct contact with researchers for the collection and processing of information related
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expressly consent to all notifications related to the bidding process being sent to the indicated email address. 13. Documents to be submitted for the scholarship agreement: Individual Taxpayer Registry (INV
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of the course (bachelor's degrees) (30%), and experience in research and experimentation regarding Carob-tree (30%). If justified, candidates may be selected for an individual interview. The evaluation process
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at the application stage, may be subsequently adjusted within the framework of the doctoral programme application process and in accordance with the supervisors’ guidance. The work plan to be developed must be