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, patient-derived xenograft (PDX) tissues, and immune cell models using spatial transcriptomics, metabolomics, proteomics, and single-cell RNA sequencing (scRNA-seq). They will integrate these high-resolution
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in the elderly as well as increased susceptibility to infections and cancers [1]. While age-related immune dysfunction has been extensively studied, underpinning the molecular changes that drive
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sequencing approaches to i) establish innovative zebrafish models of human diseases, ii) investigate the underlying pathogenic mechanisms and iii) run drug discovery programs (https://giacomottolab.com/). We
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, there is an urgent demand for accurate data on ion-beam collisions with atomic and molecular targets for the development and maintenance of fusion reactors, treatment planning in hadron therapy, and
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Kats labs have developed advanced cellular and molecular tools, novel bioinformatic approaches and have access to mouse models of leukemia and human samples that will allow the identification and
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investigations at macro, micro and molecular levels. Modeling tools such as HSC Chemistry and ASPEN Plus will be used to identify most suitable low cost catalysts/minerals and to perform process modeling
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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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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For students who are interested in computational and materials chemistry and learning to perform and analyse cutting-edge molecular modelling and advanced multiscale simulations. For students who