35 parallel-processing-bioinformatics positions at University of Liverpool in United Kingdom
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The groups of Andy Jones and Dan Rigden at the University of Liverpool are recruiting a Bioinformatics Data Engineer for the BBSRC-funded project ¿Integrated bioinformatics resources for fungal and
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animal tolerance to liver fluke infection. A range of omics tools are to be used to assess the impact on the sheep host. The PDRA will be focussed on the bioinformatic analyses of these `omics¿ datasets
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The Seismology group in the School of Environmental Sciences, University of Liverpool invites applications for the position of Postdoctoral Research Associate to work on the NERC funded project “LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical...
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. Interns rotate through different services on a weekly basis including soft tissue surgery, medicine, orthopaedics, sports medicine, imaging, and anaesthesia. Each intern participates in 1 in 5* of night
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expected to study towards the ECVS Diploma in Surgery. The post is available from 14 July 2025 for 3 years. Commitment to Diversity The University of Liverpool is committed to enhancing workforce diversity
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on the genome sequence analyses and you will develop bioinformatics pipelines for sequence analyses, lead the bioinformatic analyses with colleagues in Southeast Asia, and provide training and support to
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novel insights into cystic fibrosis exacerbations by providing expertise analysing data from multi-omics experiments and marrying it to clinical data. You should hold a PhD in bioinformatics, systems
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experimental design, bioinformatics, or translational research is advantageous. This post is available until 30 June 2026 in the first instance. If you are still awaiting your PhD to be awarded you will be
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ownership, accountability, and improved security across our systems, infrastructure, and processes. Key Responsibilities: -Engage with staff and students to assess needs, improve information handling, and
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC