Sort by
Refine Your Search
-
methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
-
. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
-
, generative diffusion models, flow models, optimal transport, stochastic filtering, sequential Monte Carlo, Markov chain Monte Carlo, and Bayesian inference and inverse problems is strongly advantageous. Your
-
will build an experimental and computational platform based on 3D-printed, brain-mimetic tissue models with tunable transport properties, where interface transport can be measured and predicted
-
student in this project, you will contribute to the development of new models and methods in machine learning for D-MIMO integrated sensing. This includes working with large amounts of data generated by a
-
concerns novel methods for PDEs that contain nonconservative contributions that arise in modelling applications such as shallow water phenomena, sediment transport, blood flow, or atmospheric sciences. Said
-
quality, greenhouse gas fluxes, and emergency response capacity. Yet, current modelling approaches are incapable of inference from diverse sensory data, too computationally demanding for real-time use, and
-
area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of