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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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(including gathering, preparing and analysing data, thinking critically, generating ideas and presenting results). Desirable criteria Knowledge and some practical experience of nucleic acid analysis software
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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discipline Experience in operating liquid chromatography coupled to high-resolution (preferably Orbitrap) MS instruments and associated software, and/or sensitive Triple Quadrupole MS Instruments and
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skills in distributed machine learning, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong programming and system development
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer science
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for medical applications, working on software and hardware aspects for soft/eversion robots operating in remote locations, ultimately achieving fully functional prototypes. You will work in a team within the
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the application of relevant equipment, software and techniques such as component and material fabrication (specifically via PVD techniques), materials characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy