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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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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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communicate research results through excellent written and oral communication skills in English? Then do not hesitate to apply! Experience with reservoir simulation, heterogeneous heat storage modelling, energy
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candidate will gain training in chemical biology, molecular genetics and cell biology, and use physiologically relevant in vitro and in vivo models. The work will be carried out in an interdisciplinary
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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
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simulation, heterogeneous heat storage modelling, energy systems modelling, techno-economics is considered a plus, but we can are happy to provide support on these aspects! TU Delft (Delft University
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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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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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trapping of lithium to form pegmatite ore bodies. The project will utilise high-pressure high-temperature experimental equipment hosted by the UU Earth Simulation Laboratory, and the world-leading analytical