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response: investigate methods to fuse EO data with auxiliary information — including environmental simulations and open-source intelligence (OSINT) software — to generate timely, reliable intelligence
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of interaction and urban design, where your research can shape the vision of open and accessible cities! Join Us! This postdoctoral position integrates data-driven and human-centered research methods first to
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-focused attribution frameworks that integrates climatic and non-climatic drivers across sectors, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools
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together with industry partners such as Alliander and Stedin and made openly available to the broader AI and energy community. You will conduct research on advanced AI methods for short-term load forecasting
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10 Apr 2026 Job Information Organisation/Company Leiden University Research Field Educational sciences » Education Educational sciences » Teaching methods Researcher Profile Recognised Researcher
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building supply chains that are resilient, sustainable, and regulation-ready. The project develops methods and decision-support tools that integrate resilience and compliance directly into supply chain
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environment that encourages innovation, teamwork, and professional development. If you are motivated to apply advanced numerical methods to real-world structural challenges and contribute to the sustainable
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools for the attribution of compound events and impacts which might be ground-breaking to support adaptation in
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 28 June 2026 Apply now Are you eager