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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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Description A Collaborative Research Center (CRC) focused on the kidney (Transregio-SFB 374) is located at the University of Regensburg, with the Chair of Molecular and Cellular Anatomy
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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of epigenetic marks. These properties are actively regulated by molecular processes such as DNA-protein co-condensation and loop extrusion. In this project we aim to understand how emergent properties
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. Their molecular behavior has profound effects on soil hydraulic properties and biome stability. However, despite advances in continuum modeling of soil and plant-water systems, the molecular-scale mechanisms
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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group of Prof. Jörg Libuda. The position focuses on surface‑science studies on complex model interfaces for catalysis, energy storage, and the production of semiconductor devices. In situ infrared