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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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for applications for 2 research grant (Master’s Degree), enrolled in a PhD or a course that does not confer academic degree , within the framework of project La Caixa EndoLEGUME with the reference PD25
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–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using
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recognition, if applicable). - Enrollment in a PhD program. Specific Requirements - Master's degree in Environment Engineering, or related areas (If the candidate holds a higher education degree obtained abroad
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks
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for 1 research grant (Master’s Degree), enrolled in PhD or courses that do not confer academic degree, within the framework of project MagHeat with the reference - CETP/0006/2024 , financed by Foundation
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machine-learning methods for sample segmentation and classification. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The fellow will join the INESC TEC team within the LIBScan project, carrying
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Group PhD students and students in the final year of a Master's degree with a strong focus on research topics combining digital technology and sustainability Academic Requirements current enrolment in a
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the scientific guidance of the PhD Diogo Canavarro, who must draw up an opinion on the final activity report of the scholarship (Annex II), according to the draft in Annex III. Duration