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for Physics-Informed Statistical Learning for applications to real data problems of sustainable development. Regression models capable to integrate the available data with the a-priori knowledge derived from
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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Study and development of monitoring and prediction services for critical components of machine tools
conducted in close collaboration with Pama SpA (https://pamamachinetools.com/ ), an Italian company with over 90 years of experience in the machine tool market... Where to apply Website https
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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of algorithms for machine
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Electrification on environmental impact reduction of tomatoes harvesting machines
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of deep neural networks in the field of adaptive processing of graph data (Deep Graph Learning) . The developed novel approaches will be applied to case studies in bioinformatics Requirements Additional
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of transnational findings and guidelines, and collection of lessons learned and recommendations. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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Contratto di ricerca in "Computational methods for learning and model predictive control of dynamical systems" Where to apply Website https://www.imtlucca.it/jobopportunity/procedura-valutazione-comparativa
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, European Politics, Environmental Politics, or the study of Democracy. The ideal candidate should have familiarity and experience with the American liberal arts educational tradition and be prepared to teach