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to gain insights into the genetic underpinnings of disease and improve genetic risk prediction. We seek to build on previous expertise and methods devised by our teams (see below), including incorporating
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almost twice the size of New York's Central Park. This urban woodland area is just one of the many places where people can stroll, relax, jog, enjoy nature, or picnic. Hanover's "green ensemble
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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and used to predict the development of damage. Based on this, a new maintenance strategy is to be developed that is based on the physical relationships and thus enables better consideration of critical
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school is on the use of biological and computational methods to explain and predict phenomena in life sciences. This includes aspects of gene regulation and epigenetics, RNA biology, signal transduction
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predictions. As a result, systems-oriented biological research is inherently an interdisciplinary undertaking, involving biochemistry/structural biology, molecular and organismal genetics, biophysics
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prediction technologies, and handheld devices, present novel opportunities for African livestock farmers to adapt to climate change and improve environmental performance. The aim of this research is to