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the mobile base during continuous physical interaction, by integrating human-applied forces as informative inputs for the overall system control. • Task-oriented multi-sensor, multi-view perception
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catheter probe based magnetic sensors for biological applications. To perform quantum sensing, we optically read-out the NV centre's electron spin state to quantify the perturbing effect of nearby
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focuses on developing the first-ever closed-loop cardiopulmonary resuscitation (CPR) feedback device. The device uses non-invasive sensors to measure blood oxygenation in the brain and tells the CPR
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development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
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particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments
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geometries and process-induced defects demand new inspection approaches. The project combines modelling, sensor fabrication, experiment, and data analysis. You will work with a team of experts to develop
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mobile pigs. By integration sensor data and behaviour obervation, we aim to establish signatures and indicators of sleep and wakefulness in domestic pigs during passive periods. We are now looking for a
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three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods
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theory? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a
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of the screening output. This approach selects new, efficient enzymes, but also generates unique sequencefunction datasets that will be interpreted by regression and tree-based machine learning algorithms to obtain