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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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cell development and function, and compare the (epi)genetic profiles characteristic of individual genetic defects. These studies will be complemented by modeling disease mechanisms in suitable cell lines
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that combines structural biology, biochemistry, and cell biology. The lab is particularly focused on biomolecular interactions, characterizing regulatory complexes, and developing novel therapeutic
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban
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Professor Nicola Gaston (University of Auckland) ‘Modelling approaches for percolating nanoparticle/nanotube networks’ with Dr Elke Pahl (University of Auckland) ‘Plasmonically-enhanced perovskite devices