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to neighborhood outcomes. In close collaboration with local stakeholders, experiments will be conducted to test model predictions and interventions. During the PhD, you will: Gain expertise in theory-driven
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events, will be used to enhance the diagnostic and predictive capabilities of the safety level for the individual lift. Combining data-driven probabilistic risk assessment models and inspection planning
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-driven probabilistic risk assessment models and inspection planning balances cost of inspection and risk of failures, and accounts for reliability and safety. Furthermore, inspection decisions and safety
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computational design. Good programming skills with experience in reduced-order modelling techniques and data-driven symbolic regression tools is a plus. TU Delft (Delft University of Technology) Delft University
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Harnessing Nonlinear Dynamics: From Data-Driven Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale
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repaired, reused, or discarded requires sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models
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8 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Design
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8 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Country
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and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop the next generation of miniaturized in vitro models to advance regenerative
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its