80 modelling-complexity-geocomputation Postdoctoral positions at University of Oxford
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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The post-holder will join a team of investigators working on the NERC-funded Pushing the Frontiers grant ‘Influence of complex source and environmental source conditions on eruptive plume height
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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regeneration, leveraging state-of-the-art chemical biology tools and established tissue injury models, in particular, the use of versatile regeneration-competent zebrafish models and is funded by Academy
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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models of mechanotransduction. Research projects are highly interdisciplinary, aiming to integrate in vitro biochemical and cell biological techniques with in vivo models and clinical samples. Recent
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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novel neuroprotective strategies. You will utilise in vivo rodent models of neurodegeneration in combination with sleep/circadian clock modulators to develop an in-depth understanding of consequences
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tomato and pepper as model systems. Work in Oxford will build on our extensive experience in studying bacterial virulence mechanisms and the role of the plant microenvironment in disease development