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generic approach allowing the accurate, robust, and fast simulation of the optimal fracture reduction strategy whatever the type and class of the fracture. Combined approaches exploiting both Deep-Learning
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machine learning. Significant experience in cognitive architectures and computational modeling for neuroscience, psychology, AI or cognitive robotics will be appreciated. Mastery of reinforcement learning
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning
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skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning Excellent written
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with AI algorithms and machine learning Excellent written and oral communication skills in English Desired qualifications: Experience with research on epidemiological modelling, with an emphasis