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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Bologna, Emilia-Romagna | Italy | 13 days ago
following storm surges. Specifically, the aim is to develop a machine learning model (such as neural networks, decision trees, random forests, or hybrid approaches) capable of analyzing multi-source
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, and predictive models, computational methods, artificial intelligence and machine learning, and advanced simulation techniques for the aforementioned purposes. Where to apply Website https
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, integration and application of read-across approaches and machine learning tools, also building upon existing QSAR models, to identify substances with potential climate impact through indicators such
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execution of complex tasks. The research activities will include the development and integration of robot control algorithms, RGB-D vision systems, force sensing and machine-learning methods for robotic
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dynamic approaches and machine learning (ML) techniques for assessing the risks associated with the use of hydrogen as an energy carrier. Furthermore, activities will involve the elaboration of data
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KIAS in the relevant research fields: â¡ Computational Sciences o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o AI-Driven
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research. The research project focuses on the design, development and validation of Artificial Intelligence and Machine/Deep Learning models applied to healthcare, with particular reference to computer
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techniques in data management, analytics, machine learning, and artificial intelligence. Its objective is to contribute to the advancement of scientific knowledge in the field of data-centric systems by
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, dissemination activities, and project meetings. The following experience will be considered as advantage: • Knowledge of one or more of the following is highly desirable: machine learning, optimization
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analysis, text analysis, natural language processing, data visualization, machine learning, algorithm auditing, AI-assisted research, or related methodologies. Apply computational and digital methods