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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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program “European Large Open Multi-Modal Foundation Models For Robust Generalization On Arbitrary Data Streams” (ELLIOT) (CUP: E93C24002710006) Where to apply Website https://www.unimore.it/ Requirements
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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) of the Digital Industry Center of FBK. The Unit carries out basic and applied research, tool development and technology transfer in the field of formal methods and model-based design for complex embedded
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trauma, using advanced epidemiology, multi-sector data linkage, statistical modelling and risk factor estimation.’ The Fellow will also contribute (as a secondary aspect) to aligned programmes within
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of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org ), and also a main hub of the Earth BioGenome Project (EBP, https://www.earthbiogenome.org ) and a hub for innovation in high
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friendly mode of transportation, but noise and vibration remain a major environmental challenge for the railway sector. Therefore, a wide range of numerical models have been developed for the prediction
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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minimum pay determined by rank and step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025
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University. This will provide plenty of opportunities to master state of the art research-grade lasers and develop applied optics skills, instrument control, numerical modelling and demonstrate fundamental