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. The successful candidate will contribute to understanding how modern machine learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
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strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic modeling, as well as an interest in climate risk, soil
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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural
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) fluxes. Using experiments conducted in both soil mesocosms and microcosms, this postdoctoral project aims to assess the effect of hydrological disturbances caused by climate change on interactions between
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-based, and climate-related) and uses innovative qualitative and participatory methods to study how care, strategy, and collective action interact in times of societal crisis. You will join a vibrant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
. This position is designed for a scholar with an emerging research agenda on corporate climate action, decarbonization strategies, and the role of businesses in advancing the net-zero transition. We are especially
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking