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Environments Work plan: - The activities to be carried out will focus on the study and evaluation of automatic speech recognition technologies, with particular emphasis on deep learning-based approaches and
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://www.di.ubi.pt ), under the following conditions: Research Field: Machine Learning/Pattern Recognition Objectives: Foundational Models for Human-Machine Interaction Work plan: The work consists in develop a system
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10 Sep 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Postdoc
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requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
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ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação | Portugal | 2 months ago
science » Ecology Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 11 Aug 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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) Positions Postdoc Positions Application Deadline 12 Oct 2026 - 17:00 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Researcher (R2) Positions Postdoc Positions Application Deadline 2 Oct 2026 - 17:00 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction