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this project involves a synergistic combination of numerical modeling, and physics-informed ML with the following key aspects:- Data mining through micromechanical/mesoscale simulations (Discrete/Finite
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the scientific area of the project (Optimization, Machine Learning and Data Mining and Analysis) (20%); C - Research experience (20%); D - Existence of publications / communications in the area (30%). The second
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capabilities at NKUA and access to molecular biology expertise at UREAD. Moreover, collaboration will be set up on semantic data mining at the start of the project, and the use of artificial intelligence
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on harmonised rules on fair access to and use of data (COM(2022) 68 final) ;• Data Analysis, with a focus on the recent Text & Data Mining Exceptions: Art. 3 and 4 Directive (EU) 2019/790 on Copyright and