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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
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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
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funded 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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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: 1. Formulate and validate automated inspection methodologies based on computer vision and AI techniques