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/or high-quality publications and/or substantial contributions to advanced research programmes Extensive experience with experimental model systems and DNA and protein-based assay methods including PCR
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hold, or be close to completion of, a relevant PhD/DPhil, have relevant experience in the integration of social science methods and ethical analysis and possess sufficient specialist knowledge of ethics
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. • • To contribute to the planning of research projects. • • To assist in contributing to support student projects on the use of research methods and equipment. • • To contribute to fostering a collegial and
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to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and verbal communication skills. Ability
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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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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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., product design), or engineering discipline (chemical or biomedical engineering). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory
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Skills and experience required for the role: PhD (or near-completion) involving qualitative research methods. Knowledge of qualitative research approaches and ethics. Experience of designing, conducting
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of the Principal Investigator • To work with the Principal Investigator and other colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend
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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