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and range shifts from mountains worldwide Participate in the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely
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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and
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temperature has been 1.5°C higher than pre-industrial levels, surpassing the temperature limit set by the 2015 Paris Agreement for the first time. To mitigate climate change and achieve carbon neutrality by
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the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely with other researchers, including other PhD students in connected
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of the spatial equilibrium models analyze environmental and climate policies, assessing their impact on global public good provision, local costs/benefits, and welfare effects utilize the model to assess
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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Forest Research Centre | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Assisting natural adaptation of forests to climate change
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interpolation. Hydrology & Earth System Sciences, 25(2), 583–601 [5]. Meo, C. et al. (2024). Extreme precipitation nowcasting using transformer-based generative models. ICLR Workshop: Tackling Climate Change with
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complement to wind and solar power in climate-neutral power systems. They can deliver a range of services, ranging from arbitrage (charging the system during low-price periods and discharging during high price
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for effective water resource management, climate modeling, and agricultural planning. Despite its importance, accurately monitoring evaporation remains a major scientific challenge due to the complexity