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Field
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fuels (hydrogen, methanol, ammonia), simulation tools for marine engines and/or fires due to fuel leakages, data analysis methods and their applications for ships, sufficient understanding of appropriate
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individuals across the AI and geopolitical field. Applications from candidates with backgrounds in relevant disciplines, with experience in various research methods, are invited. The successful candidate will
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: Functional genomics and psychiatric epidemiology Clinical informatics and data harmonisation Co-production and participatory research methods Working within a cutting-edge UK-wide data infrastructure
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other microscope methods Understanding of biomaterial–immune system interactions Knowledge of regenerative medicine and tissue engineering applications Evidence of engagement with industry
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). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory design). Knowledge of sustainability issues impacting the medical devices industry
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and contribute to academic papers. Where required, public
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sustainable heritage management decisions (particularly in an African context), using advanced methods in satellite imagery analysis, remote sensing and machine learning, combined with geospatial analysis
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. Knowledge of data processing tasks such as querying, linking, pivoting, and cleaning of datasets. A3. Knowledge of quantitative data analysis methods (e.g., but not limited to methods of survival analysis
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, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform statistical analyses to assess stability and plasticity of multisensory