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, data analysis, and network measurement. In fact, the Ph.D. candidate contributions will advance our ability to detect and understand how users are tracked across devices, apps, and ecosystems, providing
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analysis tools, and to a big data analysis platform with substantial computing resources for their processing. Where to apply Website https://networks.imdea.org/job/phd-position-in-iot-security-and-privacy
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Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Simulation engineering Environmental science
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Economics » Environmental economics Economics » Financial science Engineering » Simulation
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to curtail their spiraling costs. The project focuses on Europe, with a detailed analysis of three selected case-study regions. Methodologically, SPHINX embraces five pillars, ranging from data collection
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description Positive tipping points
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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costs. The project focuses on Europe, with a detailed analysis of three selected case-study regions. Methodologically, SPHINX embraces five pillars, ranging from data collection to agent-based and