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of a doctorate, contains: Are you eager to improve pandemic preparedness through data-driven research? Do you want to work on real-world implementation of AI and epidemiological models in healthcare
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clinical outcome data, exposome research provides a holistic framework for identifying preventable risk factors and guiding targeted public health interventions. This scientific approach underpins both
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on specific tasks within the ERC project, such as qualitative data collection, analysis, and integration of findings. You will support the Principal Investigator (PI) and actively participate in
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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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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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(North sea, southeastern Australia). The research will be further facilitated using current measurements available at VUB in the Belgian offshore zone. For example, multiple years of scada data is
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this for data mining of existing scRNAseq datasets in the lab, as well as publicly published and newly generated data. You will study how abnormal genetic content modulates cell fate decisions in pluripotent stem