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of mountains in the global hydrological cycle? And in what happens to downstream water supply when mountains change? Do you like working with numerical models? Then this PhD might be your next step! A large part
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examples, backdoors and model extraction attacks to physical side-channel and fault injection attacks on AI chips. We build defenses that are both robust and efficient. A strong background in machine
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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this on this page . In this project, you will conduct preclinical studies using animal models, including a model for human CAA. You will investigate whether the blood-brain barrier is disrupted in
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations
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at the intersection of operations research and game theory to address these problems. Applications can go beyond the transport and logistics domain. Your research will focus on mathematical modelling and algorithm
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will focus on mathematical modelling and algorithm development for planning and operating multi-actor systems, taking into account that the actions of one actor influence the opportunities and
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented