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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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of microbiome research data from the project with data from literature (e.g., molecular pathways) using the knowledge graph Re-analysis of already published data Identification of microbial effectors from
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, and quantum information , ultracold quantum gases , Ultrafast Molecular Dynamics , Ultrafast Physical Chemistry , Ultrafast Science , Unconventional and topological superconductivity , X-ray
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processes regulated by AGC1 kinases. The Chair of Plant Systems Biology has strong expertise in all relevant molecular, cell biological, biochemical, physiological and genetic techniques. The group also has
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progression, with the ultimate aim to develop innovative nucleic acid therapeutics against cancer. We make use of advanced molecular and cellular technologies to identify novel targets and get insight
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profile: Must-have: MSc or equivalent degree in computational simulations and related fields Theoretical knowledge of Molecular Dynamics and/or Monte Carlo Good English language – spoken and written Nice
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, to industrial catalysis and green energy production. This PhD project offers a rare opportunity to explore hydrogen surface collisions at a fundamental, molecular level to gain unprecedented insight into the role
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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the two leaflets. However, most studies to date have focused on symmetric bilayers. This project addresses this gap by integrating molecular dynamics simulations with experimental techniques such as solid
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of unconventional superconductors’ with Professor Michele Governale (Victoria University of Wellington) ‘From ab initio characterisation to simulation of molecular 'synapses' for neuromorphic computing’ with