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the following objectives: To model microclimatic conditions along Sweden’s road infrastructure and investigate how roads contribute to variation in microclimate at the landscape scale. To understand how variation
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transparency, accountability, and trust in model outputs has become imperative, especially in critical domains such as disaster risk management, social vulnerability mapping using satellite imagery, and
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terrestrial biodiversity and ecosystem services. However, critical gaps remain in understanding how the design, structure, and landscape context of solar parks influence ecological communities, and how habitat
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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has galvanised global action, through initiatives such as the UN’s Decade on Ecosystem Restoration2, to protect what remains and restore what was lost. Yet, restoration of coastal wetlands at scale is
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of areas suitable for persistence of healthy, accumulating peat (e.g., Ritson et al., 2024) under projected climate change scenarios. However, these models often fail to consider how these ecosystems might
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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an efficient AI foundational exploration of the molecular space. How can we bias the generative models towards desirable molecular properties How can we integrate generative AI models and different molecular
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ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading