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What uncertainty in clinical evidence is acceptable for regulatory actors and patients to allow orphan or breakthrough devices on the market, while also ensuring these devices are sufficiently safe
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of doubt: A novel framework for understanding the impact of synthetic content on adolescents’ knowledge formation.” The PhD Candidates are embedded in the Amsterdam School of Communication Research (ASCoR
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ambitious PhD Researchers for the four-year project “Agents of doubt: A novel framework for understanding the impact of synthetic content on adolescents’ knowledge formation.” The PhD Candidates are embedded
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Conservation management needs reliable information about how many animals a population holds and whether that number is changing over time. Yet for most threatened species such estimates are often unavailable or imprecise, either because the species is cryptic and hard to detect by visual...
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project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes
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Postdoctoral Research Assistant in Decision-making under uncertainty for robots Grade 7 : £39,424 - £47,779 per annum We are looking for a post-doctoral research assistant to join the GOALS group
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expert’s labels fails outside narrow cases. The project investigates how to build AI to handle uncertainty - representing alternative interpretations, explaining the evidence behind them and supporting
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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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staff position within a Research Infrastructure? No Offer Description Challenge: Design building renovations under future uncertainty. Change: Develop uncertainty-aware life-cycle methods to optimise
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Earth Observation). You will actively work on integrating uncertainty-aware modeling capabilities into Geo-Foundation Models (GeoFMs). GeoFMs are typically pretrained on large-scale datasets using self