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use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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, emmva@dtu.dk . You can read more about the Department of Applied Mathematics and Computer Science at www.compute.dtu.dk and about the Section for Cybersecurity Engineering at www.compute.dtu.dk/sections
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and