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department at TU/e for finite element-based deformable body simulations. Conduct research on mechanical contact processing models, integrating both physics-based numerical models and data-driven approaches
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-driven model for assessing the reliability of official network maps (KLIC deliveries). You will build a prototype algorithm that can be used by infrastructure and civil engineering professionals to better
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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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Integrated photonics is maturing and integration density increases. This means the design methods and testing strategies need to keep up. Are you interested in exploring compact models and novel
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Integrated photonics is maturing and integration density increases. This means the design methods and testing strategies need to keep up. Are you interested in exploring compact models and novel
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interpret the reliability of underground maps? Your Role As an EngD candidate, you will work under supervision to develop a data-driven model for assessing the reliability of official network maps (KLIC
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opportunities to better explain and predict travel patterns. Artificial Intelligence (AI)-driven modelling and prediction has the potential to reshape urban mobility. AI can help operators in transport planning
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Are you passionate about applying technological innovation and data driven technologies to advance patient safety? Do you thrive in multidisciplinary environments bridging clinicians, engineers, and
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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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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