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), as part of the Horizon Europe-funded CARDIMED project (Climate Adaptation and Resilience Demonstrated in the Mediterranean region). Your job CARDIMED brings together nine demonstration sites across
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-based and masked-autoencoder approaches and relevant architectures adapted from related biological domains; develop representations that integrate microbial identity and abundance with genomic
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masked-autoencoder approaches and relevant architectures adapted from related biological domains; • develop representations that integrate microbial identity and abundance with genomic or functional
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)design; integrating multi-source datasets, including street-view imagery, GIS data, smartphone mobility data, and qualitative insights; applying and adapting state-of-the-art foundational AI and machine
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nature-based solutions (NBS), as part of the Horizon Europe-funded CARDIMED external link project (Climate Adaptation and Resilience Demonstrated in the Mediterranean region). Your job CARDIMED brings
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building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or