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enhance the competencies of the Institute in one or more of the following research areas: foundation models and efficient training/adaptation methods on HPC systems, generative AI and multimodal learning
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-driven insights converge. Nemesis integrates multiscale soil health data, local knowledge, and advanced monitoring methods to co-design sustainable land management practices tailored to each region’s
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functional and clean-energy materials. The successful candidate will contribute directly to scientific discovery, method and code development, and ERC proposal preparation, working at the interface of density
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instruments; Apply laboratory techniques to measure the organic carbon content of soils subject to different treatments; Use standardized rating scales and sampling methods to ensure accurate and consistent
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Specific Responsibilities/activities: Maintaining long-term observational capabilities Participating in intensive field campaigns Designing novel tailor-made algorithms and inversion methods Combining
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dynamic team composed by young talented scientists and technical experts, working in a highly attractive and international environment (English is the formal working language at the CyI). The ideal
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methodologies such as petrography, mineralogy and chemical (elemental and isotope ratio) analysis methods. We seek candidates who can capitalise on this investment and in addition can contribute to research in