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household, administrative, health, demographic, or other socioeconomic data. Estimating the causal effects of extreme heat on economic and human-development outcomes, potentially including health, labour
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. The position is a two-year role and funded by a DFF research project (‘Safeguarding Users’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in
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-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy, people's ability
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that would be ideal. Experience specifically with research on consumers or citizens
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Are you interested in using advanced control methods to address one of the major climate challenges of our time, namely the decarbonisation of lime and cement production? We are looking for a
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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thereafter. The position will be available for a two-year period, with possibility of extension. You will be part of a research environment focusing on estimating greenhouse gas (GHG) emissions, reactive