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-scale numerical simulation framework to assess mechanical cloaking meta-structures within the ANR–FNR Metacloak project (Robust multi-scale design of meta-structures for mechanical cloaking from additive
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
compositions of Ti and C and different structures, including MD-based nanoindentation simulations and defect analyses. To facilitate this, you will further develop the ultra-fast machine-learning potentials used
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: •clean-room fabrication of resonator structures, •ferroelectric and piezoelectric characterization, •resonators testing using Vector Network Analyzer (VNA). Is Your profile described below? Are you our
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different structures, including MD-based nanoindentation simulations and defect analyses. To facilitate this, you will further develop the ultra-fast machine-learning potentials used, both methodologically
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research Sociology of knowledge (construction and co-production of social categories and norms) Critical perspectives on sustainability, equity, human and social rights Your tasks Develop a PhD project
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Research Programs: Data Science, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure