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-GUIDE project, we will make directed evolution guidable and, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity
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want to contribute to the bottom-up construction of synthetic cells? Are you excited about the application of AI tools to predict gene expression levels across a synthetic genome? Then join our team as a
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. Important themes are logistical organisation of regional care and prediction of treatment outcomes for individual patients. Research activities involve collecting (prognostic and care logistics) data
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, or dynamic models to predict gene regulatory interactions. Work with digital twin technology, simulating patient-specific disease progression and treatment responses. Collaborate in an interdisciplinary
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project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab on Education and AI (NOLAI). You will create methods to predict energy
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, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
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. Thus, understanding the future viability of ice shelves in a warming climate is paramount to better predict the future sea level rise. The state and evolution of the firn layer, expressed in
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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
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. An aortic aneurysm is a bulge in the body’s main artery, the aorta. The bulge can rupture, unfortunately leading to death in more than eighty per cent of cases. It is not currently possible to predict whether
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predicts communication abilities and detects more/different brain areas than object naming. As a result, action naming is now used in several hospitals. Still, language impairments can occur after surgery