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Field
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buildings, including reality capture using laser scanning and photogrammetry, automatic anomalies identification with Deep Learning techniques, and anomalies mapping using Ray Casting techniques. Requirement
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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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6 Nov 2025 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Researcher Profile
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the field of the seismic behaviour of masonry structures and machine learning; Have a good proficiency of the English language. At the time of the respective hiring, candidates must prove that
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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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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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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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involvement in system setup, on-site validation, or scientific publications will be highly valued. (40%) Criterion 3. Strong proficiency in Python and machine learning/computer vision libraries (e.g., PyTorch
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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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should possess a strong background in advanced computing and data science, machine learning, or in a related field, with expertise in monitoring data reliability, quality assurance, and AI modelling