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design packages, CAD and Google workspace tools to realise and present design ideas. Use CAM software and CNC programming to facilitate the manufacture of components. Keep meticulous records of all
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includes training in: Nonlinear dynamical systems modelling, Large-scale simulations and high-performance computing, Parallel programming and optimisation techniques. Sheffield has a dedicated graduate
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Language Processing research group within the School of Computer Science ( https://sheffield.ac.uk/cs/research/groups/natural-language-processing ), a large and vibrant team of researchers with a wide
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geospatial data, e.g. using R, Matlab, ArcPro, QGIS, python or similar Essential Application/interview Experience using UAV software or programming tools such as Agisoft Metashape, Pix4D or similar
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a Master’s degree, in a relevant discipline such as Computer Science, Applied Mathematics or a closely related field. A strong mathematical background and proficiency in programming (preferably
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Computing Essential Application Track record of publication in MR or imaging journals, with at least one first author publication Essential Application Evidence of programming proficiency Essential
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experience in developing machine learning and/or deep learning methods. Essential Application/interview Programming experience in Python and use of relevant machine learning / deep learning frameworks
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Application Experience designing and conducting laboratory experiments Essential Application Experience analysing experimental data using scientific programming tools (e.g. MATLAB, Python, or similar
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Application Documented experience in MRI sequence development and sequence programming. Essential Application/Interview Strong background in MRI physics and processing and modelling of MRI data. Essential
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engineering tasks including, programming, verification, simulation, data capture and data analysis. Experienced Project Managers, Technical Leads, and Technical Fellows will be there to support you. They