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Field
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progress has been made in finger-scale tactile sensing, challenges persist in developing soft, large-area robotic skin. A major hurdle is gathering sufficient contact information on the robot's surface when
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both a catalyst and prime supporter of these reductions by revealing large emission hot spots around the world. SRON has been at the forefront of this revolution by providing key data and analysis. SRON
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healthy aging in families, and 2) the prediction of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry
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international collaborations, including the Observational Health Data Sciences and Informatics (OHDSI) initiative, a global consortium dedicated to harnessing the value of health data via large-scale analytics
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At Erasmus MC’s Health Data Science group, you’ll help shape the future of healthcare by developing open-source analytics that support large-scale epidemiological research. You’ll work with health
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At Erasmus MC’s Health Data Science group , you’ll help shape the future of healthcare by developing open-source analytics that support large-scale epidemiological research. You’ll work with health
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statistics, together contributing to a deeper understanding of the basis of human brain connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis
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between the following topics: 1) Topic 1: LEO-PNT advanced ISL concept and simulator development A LEO-PNT system will rely heavily on intersatellite link (ISL) to disseminate data within the constellation
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We are looking for 4 highly motivated PhD students to join our research team for a project focused on battery modelling, state estimation, fault diagnosis and control. Information Batteries
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Are you passionate about mathematical control theory and its applications? Are you eager to develop estimation and control algorithms for large-scale dynamical systems with the aim of making next