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Field
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models also provide uncertainty estimates in the model and its predictions, allowing the confidence in automated decisions to be evaluated. The goal of this project is therefore to develop learning
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-ERIC project “LEMIS” (Analysis and imaging of Light Elements in Materials of Importance to energy Storage using ion beams). The position will remain open until filled. The position is available
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underlying decision-making and reinforcement learning in smoking behavior. Primary supervision will be provided by Lark Lim, Ph.D. (Lim Lab for Affective Neuroscience and Neuroeconomics; http://www.llann.org
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How do memory, attention, and decision making change as we age, and how can technology help us better understand and support these processes? The Brain & Cognition Team at Erasmus University
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adaptation funding will be essential here. Most of this PhD project will focus on the statistical analysis of these rich cross-country datasets, also examining whether firms’ decisions differ from households
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develops and applies methods for uncertainty quantification, engineering reliability, and risk & decision analysis to support optimal and sustainable decision-making in engineering and environmental systems
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affected by several factors. As a result, the decision made based on these images could be affected depending on the quality of the images. For this reason, the aim of this project is to propose a
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embedded within the NWO-funded project “NEPTARGOS: Nautical Empowerment for Proactive Threat Analysis and Resilience with Guardian Oversight Systems” in collaboration with the Netherlands Aerospace Center
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the emergence of unfair loops: our social identity influences our position in the network, determining the results of the analysis algorithms, which are in turn used to make decisions that reinforce our position
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resilience. Mixed-methods approach will be adopted, including hydrological and infrastructure assessments, analysis of transboundary agreements, and a political economy review of decision-making. Governance