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remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging. Recent advances in machine learning approaches provide a powerful
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, to complex species, such as Drosophila melanogaster or humans. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7288-AUDBAR-078/Default.aspx Requirements Research FieldBiological
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, PhD.) 2. Reactive sputtering of the compositionally complex ceramic coatings (supervisor: doc. RNDr. František Lofaj, DrSc.) 3. Optical emission and electron spectroscopy of reactive sputtering and of
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help us in our pursuits. Learn more about us by visiting our website https://cosc.arch.tamu.edu/ . What we want The Department of Construction Science at Texas A&M University invites applications for a
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based on graph theory and complex networks for the analysis of structured data. The research will investigate computational approaches for representing and analysing relationships between entities through
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on the synthetic approaches of these compounds. Insights regarding the complex catalytic mechanisms of the involved key biosynthetic enzymes are expected to also contribute to our basic understanding of natural
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complex metamaterial structures. At these frequencies, wave propagation is extremely sensitive to manufacturing imperfections, mode mismatches at interfaces, and energy losses due to reflections
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research and teaching. About the role The main purpose of this position is to carry out cutting edge research. The team for this project includes a biochemist, a structural biologist, and a systems
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complexes. The project combines biochemistry, biophysics, and structural biology. The structural biology part of the project will involve multi-protein complex assemblies, single-particle cryo-electron
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, by integrating image analysis and docking across multiple structural states. The new tools will be validated through their application to VCP/p97 data, a key protein that plays a central role in