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such as Education and Technology (EdTech), Human-Computer Interaction (HCI), Natural Language Processing (NLP), or Applied Artificial Intelligence. Demonstrable projects (e.g. GitHub repositories
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PROGRAMME AND TRAINING: The research fellowship is situated at the intersection of human-centred Artificial Intelligence, production management, and AI systems governance. Its objective is to investigate how
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of Artificial Intelligence models, contributing to increasing their accuracy, robustness, and generalization capacity. The scholarship holder will also support the validation of the platform in a real-world
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of
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aiming to develop trustworthy artificial intelligence technologies for gastric cancer prevention. The project also involves collaborations with hospitals in Rome, Bucharest, and Rotterdam.; ; This PhD
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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research activities relevant to the project's research topic and work plan, will also be taken into consideration. Workplan and objectives to be achieved: This project aims to develop and apply Artificial
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artificial intelligence technologies for gastric cancer prevention. Work includes collaboration with hospitals in Rome, Bucharest and Rotterdam.; ; Current AI models typically analyze individual images
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curricular evaluation purposes, proven skills in programming, preferably Python; machine learning and artificial intelligence; language models and retrieval-augmented generation (RAG); ASR/TTS; diarisation
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for this competition. Candidate admissibility requirements: Mandatory requirements: Have a Master’s degree in Bioinformatics, Informatics Engineering, Artificial Intelligence, Chemical and Biological Engineering