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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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project titled “Co-Evolutionary Processes in the Formation of Resilient Sustainable Finance Regulation for Societal Transformation.” The selected candidate will join a dynamic research group located
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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models
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biology, molecular self-assembly, physics, chemistry and other related fields will be considered, but should have an interest in applying ideas from algorithms and computer programming to the molecular
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the latest advances in AI to identify factors in pregnancy, labour and in the early neonatal period that represent increased risks for CP. We will develop novel AI algorithms for the analysis of physiological
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representation. The ideal candidates will have a keen interest in contributing to the development of proof of concepts to allow companies to leverage the benefits of state-of-the-art AI algorithms. Salary Range
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evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
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, computer science, or a related field is required, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer
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, Competitiveness, innovation, research and development, Finance, banking, insurance, Banking, corporate finance, accounting. or you can apply for the specific project titled “Competition and Regulation: Algorithm
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, parallel algorithms, Scientific computing and data processing, Cloud computing, Optimisation or you can apply for the specific project titled “Reducing Energy Cost of Communication of Machine Learning Based