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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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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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cellular membrane models including blood. This PhD project aims to enhance the knowledge on the biocompatible Ti based alloys composition and synthesis with advanced techniques and measure their properties
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to vibrations do not offer predictive models capable of correlating exposure with the risk of developing specific pathologies. The objective of this research is to critically assess, through the analysis
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of perceiving and understanding the state of the environment, anticipating human behavior, and adapting actions in a safe, transparent, and proactive manner are required. This necessitates models to represent and
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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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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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on advanced (nano)materials—particularly single‑atom materials (SAMs) on carbon platforms—and their interactions with relevant cellular models in nanomedicine and nanotoxicology. You will join an international
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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