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. The postholders will develop advanced modeling techniques to create privacy preserving realistic data, and predict disease trajectories, outcomes, and other clinically relevant endpoints. They will also explore and
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collaboration with Growgraph, an R&D startup engaged in advancing knowledge graph technologies and AI-driven methods for structured data analysis. This partnership aims to foster the transfer of research outcomes
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research with Professor Pauline Corblet and Professor Samreen Malik. The collaborative research will be on labor and education economics with a particular focus on structural models tied with labor market
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society. The Department of Psychosis Studies is one of the world’s leading centres for research into psychotic disorders. It is part of the School of Academic Psychiatry. Our mission: we aim to advance
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modeling. Your work will advance mass spectrometry technology, providing new possibilities to study the structure and function of protein assemblies and other large biomolecules. Main responsibilities
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society. The Department of Psychosis Studies is one of the world’s leading centres for research into psychotic disorders. It is part of the School of Academic Psychiatry. Our mission: we aim to advance
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mitigate turbulence under diverse urban layouts and meteorological conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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project – Social and environmental justice in 15-minute cities, in particular within the WP3 dedicated to the construction and evaluation of 15-minute city scenarios. The main objective is to analyze
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programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Familiarity with common tools for structure-based molecular modeling or virtual Ability to think critically