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the Head of Department. About the project Many critical decisions in science and engineering, from managing power grids to planning subsurface energy operations, depend on computational models
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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
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