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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 8 days ago
platforms for mechatronic systems, based on embedded-edge architectures with possible cloud integration and advanced power electronics devices. - Advanced modeling and simulation for mechatronic, robotic, and
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of the mean flow). This study aims at contributing to a better control of the risks related to airborne contaminations in indoor environments by improving the modeling of the resuspension phenomenon. Expected
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for an Active Ankle Foot Orthosis", Control Engineering Practice, vol. 169, 2026, 106757, doi: https://doi.org/10.1016/j.conengprac.2026.106757 . [4] O. Bey, Y. Amirat, S. Mohammed, "Adaptive Model-Free Control
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/123 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 7 hours ago
impact evaluation (OEE, scrap rate, lead time, MTTR/MTBF, SLA). • Reliability, security and privacy measures (traceability, controls, human-in-the-loop). Where to apply Website https://pica.cineca.it/unipd
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strengthens Italy’s capacity to develop enabling technologies, including autonomous systems, advanced materials, bioengineering solutions, communication and navigation architectures, and modeling and simulation
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and application of risk assessment models and tools
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of fashion lexicon. This will include modelling underlying conceptual networks. Where to apply Website https://pica.cineca.it/unicatt/ Requirements Additional Information Eligibility criteria Eligible
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computational techniques in data science. Specifically, the research concerns frontier topics related to statistical models for multivariate and complex data, characterized by high dimensionality and
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axes: (1) application of vision-language models (VLMs) and large language models (LLMs) to document understanding and OCR, with a focus on multilingual and multi-script settings, including non-Latin