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poorly understood. In this PhD project, you will investigate how adipose tissue-derived signals alter cardiac metabolism and function in diabetic cardiomyopathy (DbCM). The project combines cardiovascular
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? To address these questions, the PhD candidate will develop and evaluate new decision-support methods that combine optimization and machine learning. Particular attention will be given to methods that can
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of experienced HDS faculty members, doctoral students prepare and teach courses focused on relevant topics. Course organisation In total, HDS PhD students must earn 30 ECTS credit points throughout the three-year
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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