49 parallel-processing-bioinformatics Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows that support our cutting-edge clinical trials, with a focus on 'omics data analysis. You will
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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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a key project on spatial audio capture, exploring innovative microphone array processing and real-time audio programming. Your work will not only advance the science but also influence real-world
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revolutionary listening experiences that will impact industries worldwide. About the role You will lead a key project on spatial audio capture, exploring innovative microphone array processing and real-time audio
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in
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spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in vivo imaging platforms. Key responsibilities To work within the Mansour and Roghanian labs, and with
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large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and integrate them into WorldPop’s workflows to construct high
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Application process: For further information or an informal discussion prior to applying, please contact Professor Maggie Donovan-Hall at mh699@soton.ac.uk . Applications should include a covering letter and a
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to have strong quantitative skills and experience of working with large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and