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Field
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, to mitigate user burden, monitoring should occur as minimally obtrusive and as engaging for a large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the
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, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
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You will be part of a project that will develop wearable heart-monitoring technology based on ultrasound sensors. This is a critical advancement as the aging population increasingly demands better
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the entire system, where many interconnected modules affect each other. In this project, you will be designing algorithms to guarantee the reliable operation of semiconductor machines, together with a highly
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systems strong analytical and problem-solving skills fluency in English, both written and spoken Not required, but helpful: Experience with biomedical data/algorithms An affinity for applications
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choice models, integrating data from sources such as sensors, surveys, Google Street View imagery, and microdata (e.g. CBS Lifestyle Monitor, ODIN); use computational and AI-based modelling approaches
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mechanical stress into useful electrical energy, enabling autonomous sensors and systems in demanding industrial and structural environments. The research will involve a combination of analytical modelling
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Not required, but helpful: Experience with biomedical data/algorithms An affinity for applications of technology Contributions to open source projects This is what we offer A temporary contract for 38
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faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies
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a PhD position in the field of metasurfaces for single-molecule biosensing. This project aims to develop a new generation of single-molecule sensors that exploit collective and localized resonances in