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between environmental and socioeconomic exposures and acute coronary syndrome (ACS) in Belgium. It combines national hospital admission data (2012–2021) with high-resolution environmental modelling
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approaches to enhance prediction and complement traditional epidemiological models. Interdisciplinary coordination: Liaising between clinical and technical teams to ensure data quality, interoperability, and
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uncertainty on the energy yield modeled during the design of the wind farm, increasing the risk for wind farm operators. To reduce this, additional insights are needed. In this PhD, the main focus will
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(UA). This fully funded PhD position offers a unique opportunity to contribute to the future of pandemic resilience through scenario analysis, clinical data collection strategies and implementation
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characteristic of damaged gears or bearings. Furthermore, the increasing decentralization of wind farms necessitates robust and efficient on-site data processing capabilities. This PhD project will address
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cells, embryo models and human embryos, with a focus on understanding how cell stress impacts these processes. During your PhD, you will work very closely with a postdoctoral fellow that will be carrying