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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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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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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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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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change and/or develop providing there is appropriate consultation with the post-holder. This job description is not a definitive or exhaustive list of responsibilities but identifies the key
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and air pollution forecasts with that of health predictions; and to use this comparative forecast skill assessment to develop an operational, fit-for-purpose, impact-based early warning system
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interrelationship with external factors. The candidate will develop the laboratory tasks and fieldwork of the project. In particular, the candidate will be involved in the monitoring and analysis of chemical and