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optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses on the electronic integrated circuit
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful
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to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
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As part of the Purifiy project, we are looking for a PhD candidate on the purification of pyrolyzed waste plastics. Pyrolysis offers a promising path to valorize difficult-to-recycle plastic waste
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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create a sustainable world? In our multidisciplinary research team, we have a PhD vacancy in catalysts development for urea synthesis. Join our team to design and improve, in close cooperation with other
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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our new colleague? We are looking for a PhD candidate to build a macroeconomic model that links long‑term strategies for flood risk management to the behaviour of the financial sector and the broader
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and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be