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loads in power system dynamics and stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven
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31 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Génétique Humaine Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country
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11 Nov 2025 Job Information Organisation/Company University of Innsbruck Department Faculty of Law Research Field Juridical sciences Researcher Profile First Stage Researcher (R1) Country Austria
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11 Nov 2025 Job Information Organisation/Company University of Innsbruck Department Faculty of Law Research Field Juridical sciences Researcher Profile First Stage Researcher (R1) Country Austria
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
breakthroughs or large-scale adoption events. The module will be validated on both historical datasets and scenario data generated by Integrated Assessment Models (IAMs), large climate-economic models used
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27.10.2025, Wissenschaftliches Personal Are you passionate about generative AI and digital twins for intelligent mobility systems? Do you see potential in using large language models, vision
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for appointment at Grade 7 with a salary range of £39,424- £47,779 per annum with amended duties and responsibilities. About us The MMM Unit is based at the Big Data Institute and John Radcliffe Hospital. We work
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 22 days ago
) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze: Large-Space Gaze Analysis via Multi-camera System for Social
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the elegant Georgian New Town, the beauty of Arthur’s seat and the fascinating Calton Hill; the vibrancy of the life, and the large and international student population; cultural events like the Fringe
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large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the sampling frequency of self-reports. The current project has three main aims, contributing