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clinical data, open-sourcing experimental software prototypes, writing scientific papers, and presenting research at the leading international conferences. There will be ample opportunities for national and
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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and written) in English Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint) Hardworking, proactive, willing to learn new things Ability to work both independently and as part of
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and manage independent research • Ability to set research goals, be self-motivated and proactive • A keen eye for visual presentation, software design, and in writing clear, concise, elegant code
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driven research Maths competency and experience with statistics in research Software competency: ImageJ, Matlab, Graphpad Prism, R Evidence of Github use An interest in cardiovascular physiology
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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, including the ability to meet deadlines. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint) Ability to work both independently and as part of a team Enjoys being part of an academic
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an amine plant. Plant process simulation software packages, such as gPROMs and Aspen will be employed with some complementary experimental investigations. The outcome from the project may be used in