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analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling
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to research-based advice and activities associated with updating the Danish Food Composition Database. The group has a dynamic staff with high international visibility, many research collaborations with leading
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
scenarios for Hamburg and Heide #investigate potential societal, infrastructural, and/or environmental conditions compounding with the heatwave #interaction with stakeholders to update the stress-test
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considered as lapsed. Such candidates need to re-apply with an updated application. A completed application package contains the following documents: • completed application form (available from the EMBL CPP