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metabolism and function in diabetic cardiomyopathy (DbCM). The project combines cardiovascular physiology, molecular biology, metabolism, and translational research within the international SHEA-META
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physiology, molecular biology, metabolism, and translational research within the international SHEA-META consortium, bringing together researchers from Maastricht University, the University of Oxford, and the
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an advantage: Good knowledge of mathematical optimization (e.g., mixed-integer linear programming, stochastic programming, meta-heuristics) Knowledge of machine learning and/or AI methods Experience with
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institutions in the fields of biostatistics, epidemiology, meta-research, population health science, public health, and medical informatics. The scientific coursework serves to deepen methodological knowledge
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta