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Field
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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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. The project approach includes: Employ a novel data-driven approach to accurately model the energy consumption and production of Smart Cities, on the level of city blocks and individual buildings. Identify and
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Engineering Description Key areas of research include: Scenario generation with LLMs to expose hidden failure modes in E2E models. Embedding regulatory, behavioral, and environmental knowledge into generated
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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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2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Materials engineering
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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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intelligent industrial automation systems supporting flexible and distributed manufacturing, -develop semantic models and apply model-driven engineering for reconfigurable system architectures, -implement
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students in the classroom, or helping shape everything that makes our education and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop