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social dynamics, the research aims to advance the state of language generation for conversational agents across multiple domains and languages. Where to apply Website https://phd.fbk.eu/calls/detail
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multilingual settings, such as machine translation, and emerging agentic and interactive multimodal NLP systems involving human-AI collaboration present frontier evaluation challenges. The ultimate goal is to
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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. This research will not only deepen our scientific understanding of changes in soil health but would also propose new tools as AI agents for policy support and decision-making. In addition, the candidate would
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features across diverse environments. The main research tasks include: – Collection and pre-processing of airborne LiDAR datasets for the generation of multi-resolution terrain representations and training
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Job related to staff position within a Research Infrastructure? No Offer Description This PhD project investigates methods to improve the robustness and compliance of multi-modal AI systems
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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sensors. The architecture integrates (i) an ultra-low form factor microfluidic separation module and (ii) a multi-modal SiC sensor for precise analyte identification. The seamless integration of a
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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue
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, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE You will be working in a multicultural and multi-disciplinary group, where