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for Rejuvenation" This topic aims to integrate artificial intelligence, ageing biology, and early intervention strategies to identify predictive biomarkers and design personalised rejuvenation approaches. What we
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healthcare. Required qualifications: MSc or PhD in Computer Engineering, Computer Science, Bioinformatics, or a related field Strong technical background in one or more of the following areas: artificial
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Research Centres: CCUN (Cancer Centre Clínica Universidad de Navarra ), BIOMA (Biodiversity and Environment Institute ) and DATAI (Institute of Data Science and Artificial Intelligence ), ICS (INSTITUTE
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FieldEngineering » Geological engineeringEducation LevelPhD or equivalent Skills/Qualifications Good computer skills. Advanced programming in Matlab or similar environments. Experience with Artificial Intelligence
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atomic-layer-by layer engineer-ing of novel artificial metastable materials and interface superconductivity; (iv) studies of superconducting heterostructures, Josephson junctions, SQUIDS, nanowires, and
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/ ). Project description: The design and construction of artificial photosynthetic systems with analogous or even enhanced functionalities to those found in nature is one of the great challenges of modern