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depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair production
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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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standard cell biology techniques as well as murine in vivo models is required, as well as microscopy and flow cytometry. Experience in molecular biology or structural biology is encouraged but is not
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Haematology Unit. You will use state-of-the-art genetic tools and functional genomics to generate and characterize models of CH and ageing, including the role of the bone marrow microenvironment in
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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of Colorado. Fellows will conduct mechanistic and translational research in preclinical models of Chimeric Antigen Receptor (CAR) T cells. Key responsibility is to lead a research project studying CAR T cell
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’ s internationally visible and highly competitive research is focused on understanding the mechanisms of aging and associated age-related diseases. Scientists from over 40 countries are currently
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minimum pay determined by experience level at appointment. See the following table for the current salary for this position: https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales