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developing new methods. These include machine-learning based approaches to identify deoxyribozyme variants with new phenotypes. University: Faculty of Science, Charles University Group: Edward Curtis Group
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few years have focused on the generation of machine-learning force fields for biological molecules, such as SpookyNet or AI2BMD. These offer the accuracy of quantum-chemical methods with many orders
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computer models of various ribosomes or their parts, perform large-scale computer simulations of them, and analyze the simulations using state-of-the-art statistical models and machine learning. He or she
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Brno University of Technology, Central European Institute of Technology | Czech | about 2 months ago
-distance-energy data coming from Scanning Probe Microscopy on surfaces relevant for life sciences research and medicine, including curve classification tools based on machine learning, providing both
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computer models of various ribosomes or their parts, perform large-scale computer simulations of them, and analyze the simulations using state-of-the-art statistical models and machine learning. He or she