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) information within portfolio management settings. The ultimate goal of the PhD candidate is to explore how insurance companies can adapt their practices or propose innovative solutions to embed ESG-based
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movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms
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physics-based models for circuit simulations. The characterization and modelling work will be in strong collaboration with a second Ph.D. student within the same project, who develops ultralow-power circuit
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to shield these agents during high-shear processing and enable their controlled and targeted release to significantly boost the long-term durability and functionality of next-generation rubber
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learning models without moving sensitive or large-scale datasets across systems. The project will focus on designing a modular framework that addresses security, privacy, governance, and performance, while
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model-based intervention aimed at empowering consumers to recognize and resist washing tactics. This means not just understanding the problem, but actively contributing to the solution. This PhD project
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vivo evaluations using soft-tissue models to simulate gastrointestinal navigation and refine the system’s interface and functionality based on clinician feedback. Contribute to preclinical deployment
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environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design principles
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,- in the first year, increasing to € 3881,- in the fourth year A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours A full-time employment in practice means
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of UAV-based radar data, which one of the other project partners will acquire. One focus area will be on the role of reinforcement learning, also linking to ongoing collaboration with the German