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you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical
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vacancy for a postdoctoral researcher in Data Science and Artificial Intelligence. In this position you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular
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Information (QG&QI), Quantum Materials (QMat), and Soft Matter (SM). You will work in the Strontium Quantum Gases Group , part of the QG&QI cluster and headed by Prof. Dr. Florian Schreck. We exploit ultracold
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investigate the results and implications of the PreFer data challenge – a large data challenge that was held with hundreds of researchers who attempted to predict who would have a child in three years
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fastest-growing chronic conditions to address. Yet large-scale, sustainable RPM remains limited, in large part because of the underlying health-IT infrastructure: centralised data integration approaches
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Where to apply Website https://www.academictransfer.com/en/jobs/362680/postdoctoral-researcher-in-data… Requirements Additional Information Website for additional job details https
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-based Earth system simulations and predictability science: developing advanced data-driven methods to exploit the large amount and variety of EO data products to better reconstruct and simulate complex