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”, funded by the Recovery and Resilience Plan and by European Funds NextGeneration EU, under the following conditions: Scientific Area: Machine Learning Admission requirements: Candidates who cumulatively
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&D work in the scope of the Work Package 6 - Training Programmes. In particular, the Research will contribute to the following project work: Review of the state of the art in machine learning
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; average equal to 14/20 - 3 points; other - 0 points; 3. Laboratory experience in optics and machine learning - up to 5 points; laboratory experience in other areas - 3 points; no laboratory experience
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the scholarship topic: 2 points; other conditions: 0 points. Experience in computer vision and machine learning: completion and approval of coursework in the field - 5 points; partial completion and
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Status Activity Outline: 1.The development of advanced supports will focus on studying optimized geometries to improve stability and efficiency in machining, ensuring greater resistance and vibration