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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the area of Materials science, Machine Learning computational science, Coating and surface engineering a requirement to be duly
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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 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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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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analysing the influence of the main machining parameters on the dynamic behaviour of cutting, with the objective of identifying instability conditions and supporting process optimization. This work plan is
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the reference BiodivNBS/0007/2023 and DOI: https://doi.org/10.54499/BiodivNBS/0007/2023 , financed by Foundation for Science and Technology, I.P , through national funds, under the European Co-financed
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the Sustainability of Raw Materials Industry” with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a
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announcement also available at FEUP - FEUP| 2 Bolsas de investigação |AWARE_2026 Work Location(s) Number of offers available2Company/InstituteFEUPCountryPortugalGeofield Contact City Porto Website https
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/InstituteFEUPCountryPortugalPostal Code8463Geofield Contact City Porto Website https://sigarra.up.pt/feup/pt Street Rua Dr. Roberto Frias Postal Code 4200-465 E-Mail recursoshumanos@fe.up.pt STATUS: EXPIRED X (formerly Twitter
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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through