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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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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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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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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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, Rust) and using standard software development and collaboration platforms (e.g. GitHub). Training for specific tasks can be provided, and the candidate will be mentored and supported in developing