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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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focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing
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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