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be part of TU Delft's Quantum-CFD Lab, which has long-term experience in developing quantum lattice Boltzmann methods. This position is funded by IHI Corporation, one of Japan’s leading engineering
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. This highly interdisciplinary project involves close collaboration with researchers, accessibility organizations, technology developers, and lived experience experts. You will have the opportunity to conduct
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innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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) and Dr. Zhen Yang (co-promotor). The Department of Engineering Structures focuses on the development of resilient, smart and sustainable structures and infrastructures. Our aim is to meet societal
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collaboration with two major industrial partners and the outcome will facilitate the development of “smart” lubrication systems, increase the reliability of bearings, and support application engineering in
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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Welcome to Maastricht University! Join a public-private partnership working on the development of humin based recyclable networks for adhesive and composite applications. In this PhD project, you
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are developing and evaluating innovative technologies to remove these contaminants in-situ during pyrolysis and ex-situ from the resulting vapor and liquid pyrolysis products. Through detailed analytical studies