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by robots. Navigation: Crafting mapping and navigation solutions that take into account the semantics of complex, real-world environments. AI for Physical Systems: Utilizing AI to boost
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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developing formalisms for their interpretation (GMC structure, dynamical state, lifetime, formation, evolution), and/or ii) weighing the supermassive black holes lurking at galaxy centres using molecular gas
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developing formalisms for their interpretation (GMC structure, dynamical state, lifetime, formation, evolution), and/or ii) weighing the supermassive black holes lurking at galaxy centres using molecular gas
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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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tasks as needed. This is part of your personality: You aspire to an academic career as a university professor (in Austria or abroad) and see this position as a step toward obtaining the formal
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will also contribute to or write research articles at an international level for peer-reviewed journals. You will be responsible for formally presenting your research and represent the research group
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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contact Ruby Ramsamy at ocdem.personnel@ndm.ox.ac.uk . Please quote the job reference (180450) on all correspondence. As part of your formal online application, you will be required to upload a CV and
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modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research