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Field
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develop cancer biomarkers through statistical models, including AI driven strategies, to predict highly aggressive tissue molecular signatures for mapping future GBM relapse, linking imaging features
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approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate the molecular and cellular alterations contributing to neurodegeneration in familial and
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the menopausal microbiome using innovative experimental models, supported by structured training in preclinical models, batch fermentation, human colon models, LC–MS–based metabolomics, and next-generation
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hearing impairment, yet the molecular basis of SNHL remains poorly defined. Using the Nipbl+/- mouse model, this project aims to: - Characterize inner ear development under Nipbl haploinsufficiency
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group, we synthesise these functional nanomaterials from the bottom-up, using protocols of molecular beam epitaxy and on-surface supramolecular chemistry. We study these systems by means
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molecular sensors. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an
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on optical tweezers, atomic force microscopy and advanced fluorescence microscopy to characterize the biophysical properties of the endothelial glycocalyx with suitable cellular and molecular models
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study strand displacement technology in more complex, hybrid environments to demonstrate predictive models that can account for these more complex settings. Using molecular-level simulations, basic theory
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robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse datasets across broad chemical space Evaluate models
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research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see