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Field
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) compliance study. · Planning and decision-making in uncertain environments: o AI-based methods o Reactive planning in order to consider driving rules, traffic regulations, etc. o Prediction and
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of developing of energy autonomous neural interfaces. The researcher will be in charge of the finite elements simulations to predict and design novel materials and device designs for energy harvesting based
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP-2026-Seol How to Apply A complete application consists of: An application, including academic history, work history
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP-2026-Guenther How to Apply A complete application consists of: An application, including academic history, work
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 4 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Seol How to Apply A complete application consists of: An application, including academic history, work
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an impact on climate via cloud formation. The MACS project aims to understand the role of mixotrophic protists in Antarctic C- and S-cycles. Such mechanistic understanding will help predict how changing ice
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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monitoring systems, bedside monitoring devices, or medical device data. Experience linking physiologic waveform features to clinical outcomes. Experience with machine learning, deep learning, predictive
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic predictions, it is essential to have plausible forecasts
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capable of predicting key performance indicators, including cell potential, gas purity, Faradaic efficiency and degradation behaviour. You will work closely with project partners across Europe to validate