69 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" scholarships in Portugal
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. Project Title: Machine learning techniques for crosstalk mitigation and new passive optical network architecturesHost institution: Iscte-IUL, PortugalThe LUMIRing project aims to deploy a MCF test bed
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6 Nov 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal
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of programming and artificial intelligence.; - Knowledge of deep learning and computer vision.; - Autonomy. Minimum requirements: Strong knowledge of the English language (written and spoken). 5. EVALUATION
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improve existing degradation models. T3 - combine computer vision and machine learning models to identify, delimit and classify the facades’ anomalies in photographs and thermal images; integrate the new
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the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing on the use
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, and eye tracker data. Work Plan: - Multimodal feature extraction from EEG, HRV, gaze dynamics, and pupil size data; - Signal fusion and model training using interpretable machine learning models (e.g
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Requirements: Applicants must be enrolled in a Master’s Degree in Computer Engineering or related fields. Proof of enrolment must be provided by the time of contracting. However, candidates may initially submit
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Applications — Award of a Research Initiation Grant (BII) Call Reference: BII_1_DEEC A call is hereby opened for the award of one (1) Research Initiation Grant (BII) under the scope of the Learning Environments
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
degree in software engineering Have very good English written and oral skills. Have previous research experience, particularly in the domain of machine-learning for power systems, especially
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with machine learning. Evaluation of the final solution. V - Initial grant duration: 5 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I