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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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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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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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for these architectures remains a key challenge. This project will explore how reconfigurable/spatial computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and
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data (i.e., large-scale assessments from the LKK project ) (Study 1 & 2); qualitative analysis of child data collected with the mosaic method (Study 3); a mixed-method analysis of the caregiver-child
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data management of the Copernicus Sentinels missions, as well as the availability of an ever-increasing volume of high-quality data to a large user community. In this context, ESA, together with its
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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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data (i.e., large-scale assessments from the LKK project ) (Study 1 & 2); qualitative analysis of child data collected with the mosaic method (Study 3); a mixed-method analysis of the caregiver-child