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: Admission requirements: Student in Electrical Engineering, Informatics Engineering, or similar. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses
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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
scientific publications within the scope of the work developed; - prepare the research grant activity report.; 4. REQUIRED PROFILE: Admission requirements: Student in Electrical Engineering, Informatics
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by the European Commission under the Horizon Europe program for the period 2021-2027. 1. GRANT DESCRIPTION Type of grant: Research Grant (BI) General scientific area: ENGINEERING Scientific subarea
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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Informática or Mestrado em Engenharia Informática studies. 4. REQUIRED PROFILE: Admission requirements: MSc Degree in Informatics Engineering. The awarding of the fellowship is dependent on the applicants
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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1
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biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering or Applied Mathematics
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para a Ciencia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology) on the scope of the CMU Portugal Program within the project ADAPQO with reference 2024.12585.CMU. 1. GRANT