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studies with the aim to evaluate the consequences of alternative continuous cover forestry methods for key ecosystems services including timber production, carbon balance and biodiversity values in
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs). This position offers a unique opportunity to collaborate closely with researchers across the Division of...
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are announcing a postdoctoral position in tropical carbon cycling and modelling. The employment is full time
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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. CRISPR-Cas9 delivery via carbon nanotubes and chitosan nanoparticles for floral induction in Norway spruce https://www.umu.se/en/ucmr/ec-postdoc-programme/crispr-cas9-delivery-via-carbon-nanotubes-and
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Are you ready to drive sustainable innovation in carbon fibre recycling at Chalmers University of Technology? We are looking for a postdoctoral researcher to join a cross disciplinary project at
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of organic phosphorus and other organic matter pools. In addition, the postdoc will study which factors control soil organic matter stoichiometry and the turnover of carbon, nitrogen and phosphorus
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of nitrogen, phosphorus and carbon, and human impacts on hydrology and water quality. Previous experiences with hydrological and water quality measurements are required. Practical experiences with high
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to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
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Lakes and reservoirs are significant sources of greenhouse gases (GHGs), such as carbon dioxide and methane; however, global emission estimates remain highly uncertain because existing approaches often