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neural cells and unravel the underlying mechanisms involved using healthy and animal models of glioma. GlioLighT aims to explore novel light-based therapies for glioma. The technician will support
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, GDPR, EHDS; WHO; FUTURE-AI), identifying facilitators and barriers for deployment (e.g., technical integration, workflow fit, governance and trust), and analysing multi-stakeholder qualitative feedback
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for personalised medicine approach to tailor the care models in the field of cardiovascular diseases. In particular, we are interested in new AI solutions for risk assessment and patient management. The project will
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