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Field
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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AI for Cyber-Physical Energy Systems (Copenhagen) The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 4 days ago
of Groningen. This position is embedded within the PROVIDE Doctoral Network (https://provide-dn.eu/ ), an international doctoral training program funded by the European Union that aims to address the global
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our region. The Research Opportunity The successful PhD candidates will investigate how climate adaptation strategies can be developed, tested and scaled within complex riverine urban systems. Practice
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24 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 19 Apr
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 8 days ago
your application exclusively through the HBIGS application system: https://www.hbigs.uni-heidelberg.de/en/your-application Additional comments Given the interdisciplinary nature of the project, the PhD
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD proposal is part of
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records that can systematically inform preparedness, training and future response. As a result, learning from past events is fragmented, inconsistently captured, and insufficiently embedded into emergency
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of research programmes at the highest international level that qualify students for independent research, knowledge dissemination and teaching. The main emphasis is on PhD students organising and conducting
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, they also raise critical socio-ethical, legal, and regulatory challenges. This PhD position is embedded in a European research project aimed at developing responsible, trustworthy, and compliant multi-agent