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methodology to estimate travel behavior on a large scale in Europe. Main duties and tasks: To conduct quantitative analysis and implement data science methods for transport modelling. The technician will work
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as well as explainable AI methods to understand disease drivers leading to early disease diagnosis and the discovery of novel digital biomarkers in the context of chronic liver disease for the LIVERAIM
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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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assessment. Knowledge of analytical chemistry techniques used for the detection and characterization of environmental contaminants (e.g., mass spectrometry-based methods, chemical biomonitoring approaches
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models, spatial Bayesian methods, case time series, case crossover. Have experience with the management and analysis of large climate and/or health databases. Have experience with Linux environment and
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the “Environment and Health over the Lifecourse” (EVOLVE) program (https://www.isglobal.org/en/environment-and-health-over-the-lifecourse ). The overall program goal is to better understand and prevent health
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elements in contribution to improving health worldwide. Where to apply Website https://jobs.isglobal.org/jobs/7100658-air-and-human-microbiome-studies/50d5608… Requirements Research FieldBiological