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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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often proprietary, fragmented, or nonexistent. Despite this, researchers managed to develop generative AI models capable of producing vessel hull designs. Yet, these models face limitations: they often
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behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design a public transport network that includes both traditional fixed lines and flexible on-demand services, while
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tools for static and dynamic analysis are powerful for detecting vulnerabilities, they suffer from both theoretical and practical limitations. Their results are often plagued by false positives (reporting
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theoretical and practical limitations. Their results are often plagued by false positives (reporting problems that are not real) and false negatives (missing real issues). This PhD project aims to improve
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . Selection process As Utrecht
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conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht
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2 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Process engineering Engineering » Simulation engineering Researcher Profile
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ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black holes in astrophysical and dark matter environments. Join Us! You will join the GRAPPA centre of excellence
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matter discoverable with future gravitational wave interferometers? Join GRAPPA as a PhD candidate within the ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black