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beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real
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to develop a physics-based rational approach to optimal parameter reconstruction from diffraction data from designer multiple scattering structures, designed for, e.g., measuring lithography performance in
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-powered aircraft structures. Job description How do aerospace materials deform and fail at temperatures approaching 20 K (-250 °C)? And how does their behaviour change under dynamic loading? In this PhD
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering
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wakes reduce the energy production of downstream turbines and can increase structural loading, creating a major challenge for the efficient and reliable operation of large wind farms. A novel approach
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in genomic research is essential, ideally with plants. Knowledge of AI-related models is desirable. You are capable of conducting independent research, working in an organized manner, and structuring
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secondary structures, such as virus-like particles and plasmids. In your PhD project, you will study nanoswitches in a particle-based sensing platform with single-molecule resolution, called Biosensing by
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regulatory instruments for the hydrogen economy. These hypotheses will be tested both quantitatively, on the basis of experiments, and qualitatively, through semi-structured interviews. In developing