270 high-performance-computing-postdoc positions at University of Manchester in United-States
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CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental
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for sustainable european electricity grid (DCDYNAMIC), a Horizon European collaboration focused on developing advanced insulation materials for high-voltage direct current (HVDC) applications
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Applications are invited for a Postdoctoral Research Associate to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by the National
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AMPs demonstrating high efficacy against several pathogenic microorganisms, a gap remains in demonstrating their potency against wound pathogens, especially antibiotic-resistant strains. This project
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the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact
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this project we will develop a novel experimental system that is complex yet tractable, enabling rich, coordinated multi-omics analysis coupled with computational modelling to deliver deep mechanistic insight
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, construction and deployment of engineered plasmids to support the delivery of beneficial traits, via HGT, through soil microbiome communities. You will work closely with other postdocs on this project, who will
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
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Applications are invited for a 9 month postdoctoral research associateship in the development and application of novel high resolution NMR techniques for the analysis of heterogeneous and dynamic
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transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets