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partners in the Netherlands and abroad. You will work with large, multi-center clinical datasets and contribute to translating advanced computational methods into clinically relevant applications. This PhD
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Data Science, Safety and Security research units, in collaboration with the Data Science Centre of Excellence of the Netherlands Defence Academy and the Netherlands Forensic Institute. The PhD researcher
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In this project, we develop a new mathematical framework to efficiently model multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days ago
retrieval: reconstructing the original digital data from the sequenced symbols. This PhD project focuses on the first and fourth challenges, by developing joint compression and error-correction algorithms
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seek a PhD candidate to work on representation learning methods on graphs for modeling static and temporal networks, with applications to ecological systems and beyond. The project will focus
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for Interdisciplinary Digital Sciences (CIDS), the Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a full-time position as Research Associate / PhD Student (m/f/x) (subject to
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) Established Researcher (R3) Positions PhD Positions Application Deadline 31 Aug 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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interaction, geo-information science, or a related field, with experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial
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Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data
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tend to hallucinate facts. By contrast, other AI technologies, such as knowledge graphs and formal reasoning engines, are able to reason reliably, but are less good at handling ambiguity. This PhD