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/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities of York and Exeter
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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the depletion, degradation, and destruction of ecosystems, prevents biodiversity loss and soil erosion, and mitigates the impacts of climate change. Our research, education, and partnerships empower society to
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-adapted riparian buffer management, focusing on boreal and hemi-boreal forest ecosystems. The project compiles and evaluates peer-reviewed literature, management guidelines, policy documents and/or
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residence in the country (including during periods of field research). Qualifications: PhD in Anthropology or equal qualifications (environmental humanities, geography, political ecology, archaeology) Should
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understand, explain and advance society and the environment we live in. The EuroHPC Virtual Training Academy (EVITA) is a European initiative building a unified and sustainable training ecosystem for High
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Research Infrastructure? No Offer Description Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH
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that will support future translational and commercialisation activities. The BRITE (Biologics Regional Innovation Technology Ecosystem) programme, funded by UKRI Research England, is a collaborative
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to the patent portfolio. Qualifications Required PhD (awarded or imminent) in Physics, Electrical Engineering, Materials Science, or a related field. Demonstrated competence in both a computational technique
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quantum systems. Requirements You have a PhD degree in physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum