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storms, and simple data extrapolation breaks down exactly when it matters most. Approaches based on AI, developed for precipitation nowcasting, have strong potential for adaptation, e.g., to ionospheric
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be mainly performed in the laboratories of FBK; · development and optimization of new characterization setups. Where to apply Website https://phd.fbk.eu/calls/detail/development-of-3d-integrated-trench
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look for correlations between transient phenomena in the ionosphere and seismic events. The successful candidate will develop and apply state-of-the-art machine learning techniques to enhance
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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric
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High-Entropy Alloys (HEAs) with enhanced radiation resistance and thermal stability for space technologies, contributing to the understanding and development of novel materials for extreme environments
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Giorgio Divitini, who has extensive experience in Electron Microscopy technique development and applications. The research focuses on furthering and applying the state of the art in electron microscopy
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to develop advanced methods for artifact-free hemodynamic angiography with applications primarily in ophthalmology, but also in neuroscience and cancer research. Where to apply E-mail [email protected]
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the use of formal monitors and safety cages to provide dependability guarantees for components using AI. By building on state-of-the-art tools like OCRA and xSAP, the goal is to develop a robust MBSE flow
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at subwavelength scale and to support the development of compact, high-performance detectors. This PhD project proposes the design, simulation, fabrication, and characterization of plasmonic antennas for infrared
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beneficial MN combinations and altered MN requirements under inflammatory stress, laying the groundwork for the development of targeted multi-micronutrient interventions to support cellular function in