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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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://recruiting.fz-juelich.de/jobposting/a4f654429eb21bf57d00cb15af3381b6f48… Requirements Additional Information Website for additional job details https://recruiting.fz-juelich.de/jobposting
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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methods for causal inference using large-scale observational healthcare data. The project will address fundamental methodological challenges in estimating causal treatment effects from longitudinal
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
applications will be tackled. The first concerns electrical machines like power plant alternators for which EDF has developped numerical simulators and has large sets of sensor data (measuring leaking flux
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. Kontakt: [email protected] More Information https://radiologie.mri.tum.de/en/ai-assisted-healthcare