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are looking for a curious candidate who enjoys working at the interface of physics, engineering and biology, and who meets the following qualifications: Essential qualifications · M.Sc. degree in Applied
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum computing, including but not limited to spin
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last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics. Here
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phase change is called desublimation. Although cryogenic carbon capture can produce high-purity CO₂ without relying on chemical solvents, the physics of CO₂ desublimation is still not sufficiently
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a