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Field
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addresses the following central research question: how can we design human-AI collaboration to mitigate biases and foster equitable decision-making? To answer this question, the research will explore areas
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and foster equitable decision-making? To answer this question, the research will explore areas such as the following: Characterizing human-AI collaboration for bias mitigation – Developing a conceptual
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to contribute to our understanding of fire impacts on vegetation and carbon emissions in a rapidly warming Arctic. You will work on satellite image analysis and field inventories of ecosystem responses to tundra
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Responsibilities of Financial Institutions for Decarbonization” Project description The financial sector plays a crucial role in directing investments to sustainable causes. So far, sustainable investment has been
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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sites, collecting and identifying specimens, and analysing 3D flight trajectories in relation to local environmental cues such as light intensity, wind conditions, and visual structure. A key focus will
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and often hard to target, rendering the development of effective interventions challenging. The endocannabinoid system (ECS) has been emerging as a crucial regulator of stress responses; its disruption
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natural settings to study insect flight and swarming dynamics across species. This will involve identifying swarming sites, collecting and identifying specimens, and analysing 3D flight trajectories in
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natural settings to study insect flight and swarming dynamics across species. This will involve identifying swarming sites, collecting and identifying specimens, and analysing 3D flight trajectories in
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employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical discourse moments, as well as interviews