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for: The selected candidate will develop their thesis within one of the following four research lines: Early-age microcracking: monitoring and sensor development AI-driven management of sustainable concrete Digital
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
the preparation of a doctorate, contains: Research: The FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department
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competitiveness report (2024), the Flemish Governance Agree-ment 2024–2029, the policy paper ‘Vlaanderen leert’ (2025), the productivity agenda of the Flemish Government (2025), and so on). Developments such as the
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large-scale omics datasets, develop and apply statistical methods and interpretable AI models, and contribute to the identification of biological markers and molecular mechanisms associated with disease
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” of novel stretchable structures by advancing numerical modelling, data-driven, and optimisation approaches in a nonlinear regime. Project Background Stretchable mechanical structures are a subset of
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-year research project aimed at advancing our understanding of foot growth and deformities in children with cerebral palsy. In this project, you will develop statistical shape models and finite element
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Join us! Are you a curiosity-driven scientist with a background in physics, engineering, or a related discipline, who wants to lead work at the intersection of robotics and metamaterials? Join us
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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Toulouse, who developed a tool called BibHélioTech, which serves a precursor to this thesis's research. International collaborations are also possible, particularly with the NASA/ADS (Astrophysics Data
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, these flows remain poorly understood. As a result, even the most basic properties cannot be predicted reliably. For instance, the best available models over- or underestimate the measured pressure drop in a