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Your job Do you want to understand how precipitation extremes over tropical South America are changing in a warmer world? Do you like to perform data analysis on large atmospheric datasets? Then we
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
). The expected results are to create a new standard for automotive testing using RC, including VIRC. Update of IEC 61000-4-21 for large system testing. Information and application Are you interested in this PhD
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intelligence (AI) for optimising the integration of large-scale Battery Energy Storage Systems (BESS) into smart grids to enhance grid stability and facilitate optimal use of connection capacity. The goal
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nature-based solution, for climate change adaptation, biodiversity gain, and other ecosystem services to people. Key responsibilities: Analyse biodiversity data of birds, plants and insects from newly
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climate data to study occurrence of tundra fires and subsequent regreening across climatic gradients; Remote fieldwork in fire-affected and pristine tundra in the Sisimiut – Kangerlussuaq region, in
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metabolomic profiles, environmental exposures, and cardiometabolic health. You will do this by analysing unique, high-dimensional OMICs data generated within Exposome-NL. You will work closely with leading
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potential large-scale climate repercussions. Even more so since the AMOC brings CO2 from the surface to the deep ocean during deepwater formation (physical pump), and variations in the AMOC strength will
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agriculture and food security in Bangladesh”. This PhD project will co-create and co-design climate information services for short-to-long-term adaptation strategies for smallholder farmers to tackle weather
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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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incorporates data-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA