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Field
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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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systems modeling, or an [electrical] engineering background, but with an interest (or prior experience) in computational intelligence, AI and/or agent-based modeling techniques. He or she will work closely
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to the design of aircraft, wind turbines and medical devices, and for modelling the environment. Remarkable advances in computing driven by the exponential miniaturisation of transistors (Moore’s law) have
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18 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Water resources engineering Environmental
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Software Development: Building the Next-Generation Trust Maturity Model Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development
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-driven changes in rainfall. This poses significant flood risk to homes, businesses and infrastructure. For example, during the winter of 2015/2016, mine water flooding at Kibblesworth in Gateshead flooded
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-language models, or diffusion models to simulate and design complex urban traffic environments? Do you want to shape the next generation of data-driven mobility intelligence with your creative ideas and
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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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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these models in real tissue context, revealing how spatially organized cell communities rewire under genetic perturbation. Key challenges Use and improve single-cell foundation models to predict SNP-driven