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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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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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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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1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that incorporates data
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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
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assessment of policy risks and resources for zoonoses in relevant policy and regulatory documents; apply the One Health-SMART approach for systems mapping and analysis, collecting relevant information from
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of collecting relevant information from literature and stakeholders, building an HPAI transmission model and building the agent-based simulation model. You work with a consortium of researchers in the Netherlands
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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using state-of-the-art measurement systems such as LC-(HR)MS? This might be the next step for you! Pyrrolizidine alkaloids (PAs) are a large and structurally diverse class of plant-derived toxins, with