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, ISSN 1939-1412, http://dx.doi.org/10.1109/TOH.2017.2786243 , April-June 2018 Shunlei Li, Ajay Gunalan, Muhammad Adeel Azam, Veronica Penza, Darwin G. Caldwell, Leonardo S. Mattos, “Auto-CALM: Autonomous
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
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regularization methods and machine learning techniques with problem-dependent a priori information provided by business partners. Therefore, skills in both the regularization of inverse problems and the
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/2010 Where to apply Website https://www.uniud.it/it/ateneo-uniud/concorsi-bandi-uniud/concorsi/contratti_ri… Requirements Additional Information Eligibility criteria Eligible destination country/ies
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Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials
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, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
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, funded by FAR 2024 UNIMORE linea FOMO, and aims to develop authenticity models through environmentally friendly analytical techniques combined with data processing and machine learning algorithms
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Development of innovative experimental model systems for mechanistic investigation and translational validation of microbiome-mediated processes Advanced AI and machine learning frameworks for integrative multi
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to validate on real samples an innovative genetic panel (4,849 SNPs) developed to infer distant kinship, integrating DNA analysis and machine learning. After testing on simulated genotypes, it will be applied
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performance and remaining useful life prognostics, combining experimental data with physics-based and statistical models. A key role is played by Artificial Intelligence and Machine Learning techniques