64 parallel-processing-bioinformatics-"https:" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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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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under the supervision of Prof. Minkwan Kim, collaborating with the European Space Agency (ESA) and NHS Hampshire Hospitals. More information about the project is available at https://project-pasta.com
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generation precision therapeutics for hard-to-treat cancers. The successful applicant will join a growing interdisciplinary research team working at the interface of supramolecular chemistry and biomedicine
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, collaborating with the European Space Agency (ESA) and NHS Hampshire Hospitals. More information about the project is available at https://project-pasta.com . Key responsibilities include: Designing Power
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undergraduate students. For further details on our laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with
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applications. Combining organic synthesis, photophysical characterisation and advanced biological techniques, this project seeks to deliver next generation precision therapeutics for hard-to-treat cancers
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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