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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density
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alloys, carbon-based composites, and solid-state-biomolecule hybrid structures. Our data-driven development uses cheminformatics methodologies combined with machine learning methods to produce predictive
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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Senior Scientist to help lead a growing research
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, and policy domains to ensure impactful delivery of research outputs. The Aviation Impact Accelerator (AIA) uses a combination of physics-based and data-driven modelling to develop its first-order models
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, neural differential equations, operator learning, machine learning for dynamical systems, and hybrid mechanistic/data-driven models. · Computational methods for scientific discovery: AI-assisted simulation
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innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and
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for realizing X-ray phase-contrast imaging on a table-top scale. Key responsibilities include: Developing theoretical and numerical frameworks in free-electron-driven X-ray nanophotonics– i.e., modeling
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty