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Field
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qualitative (elite interviews, focus groups, comparative case studies, archival work…) and quantitative (surveys and survey experiments, statistical analyses of time series/cross-sectional data, NLP/machine
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of mobility networks, estimation of acceptance of mobility policies preparation of publications for submission to top-tier NLP, AI, or traffic engineering venues contribution to teaching and/or local BSc. /MSc
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AI, human-AI collaboration systems, computer vision (CV) models, and natural language processing (NLP) models. Candidates with expertise in any of these areas are encouraged to apply, as the position
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of work: low-resolution algorithms, model optimisation with HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, NLP optimisation. Justification of duration A
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer
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to build innovative solutions involving industrial partners Interest in applying NLP technologies to problems and texts from the legal domain Strong communication skills and the ability to lead software