11 parallel-processing-bioinformatics Postdoctoral positions at University of Liverpool in United Kingdom
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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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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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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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The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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related to computer-aided formal verification. The position is funded through the EPSRC-Project Games for Good grant, with Patrick Totzke, Sven Schewe and Qiyi Tang. Collaborations with other local and
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characterising advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 conversion. You will work to deepen our understanding of the reaction mechanisms in plasma
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at the University of Liverpool. Your role will include building a computational model for the interaction of a plasma with a solution undergoing the sol-gel transition process. The role also includes conducting
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. Digital Energy leverages cutting-edge digital technologies, including data analytics, artificial intelligence (AI), and distributed ledger technology, to enhance the planning and operation of energy systems