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on the characterization and modeling of soft magnetic materials for high frequencies applications.
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the physiological processes by which the innate immune system controls the functioning of the central nervous system, using both in vitro and in vivo mouse models. Specifically, the study will focus on understanding
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Università degli Studi di Roma Tor Vergata - Centro di Studi Economici e Internazionali | Italy | 28 days ago
, and advanced modelling techniques to understand how early-life growth trajectories influence long-term health and socioeconomic outcomes. The project develops dynamic models to identify critical periods
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of exploring models that can be implemented on the most advanced quantum simulation and computation platforms currently available, within the framework of the European Project Pasquans2. The contract holder will
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methods in classical and quantum multi-body models Where to apply Website https://pica.cineca.it/sissa/cdr-fe-fisi-18-2025 Requirements Additional Information Eligibility criteria Eligible destination
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funded postdoctoral position to develop active microstructured materials and soft pneumatic actuators inspired by origami and architected metamaterials. The research combines mechanical modeling, numerical
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational Models for new Patients Stratification Strategies of Neuromuscular
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vivo mouse models. Specifically, the study will focus on understanding the molecular mechanisms regulating the dialogue between immune cells in the meninges and neurons, leveraging transcriptomics
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-parametric methods for modeling, forecasting, classification, and uncertainty quantification in the presence of complex data. These methods will be developed in the context of modeling and monitoring natural
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vitro an on an animal model of the patches, sponges or hydrogels (4) Characterize the Degrapol patches, hydrogels or sponges loaded with drugs in terms of mechanical properties and responsiveness using in