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- progetto FLINT, CUP B69J25001080005
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the introduction of artificial intelligence systems in the labour market and, in particular, in outsourcing procedures. The objective is to examine the adaptability and evolutionary prospects of this legal
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within a Research Infrastructure? No Offer Description The research program aims to develop models, algorithms, and architectures for implementing Digital Twin-enabled Smart Ecosystems, with a particular
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Vehicles for therapeutic and preventive vaccines against triplenegative breast cancer associated with Evolutionary BRCA mutations” Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca
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of predictive models, multimodal data integration, development of explainable AI algorithms, analysis of clinical, biological and imaging data, and implementation of software tools supporting biomedical research
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of computational algorithms for the analysis of complex and high-dimensional data. Required teaching duties: The appointee’s teaching duties will be defined as part of the teaching plan of the Department
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 12 days ago
. The list of activities: • Literature review on models and methods/algorithms for the design, configuration and management of automated solutions in material handling and warehousing. • Dashboard design for
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and evolutionary processes of national and international organizations). By fostering convergence among legal, political, social, and economic sciences—and utilizing cross-cutting qualitative
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logistics. The research activity will develop models and algorithms that exploit communication infrastructure and data availability, enabling the optimization of the required resources. In the case
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integration of autonomous driving algorithms for trajectory generation and control in mining operations. ● Research and development of an accurate simulator for the vehicles and platforms used in mining
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development of in silico models and generative AI algorithms for the production of high-resolution synthetic images, validated through the use of quality metrics and comparison with clinical data. The goal is