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audiences. QUALIFICATIONS Required: Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development, Public Health, or a closely related discipline Demonstrated expertise in
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and research outcomes develop and optimise metabolomic assays for the analysis of cerebrospinal fluid and plasma samples contribute to competitive research grant applications and funding opportunities
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of the research project, including planning and designing experiments, data analysis. Presentation of project results at meetings and seminars. Publication of high-quality research articles. May be responsible
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studies (QCM-D, AFM), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research
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consortia, including experimental planning, project delivery, technical discussions, data interpretation, reporting and scientific decision-making. Developing and optimising processes for the resynthesis and
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collaborations. Key Responsibilities: Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings. Drive research with proficient data analysis and literature review in
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will contribute to research design, data collection and analysis, stakeholder engagement, and the development of practical recommendations that inform future investment and policy decisions. The role
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conducting experiments, analysing gesture and sign language data, and collaborating with the PI and project partners on related publications and deliverables. Key Responsibilities: Design and conduct
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historical datasets; undertake prosopographical and network analysis of merchants and institutions; and publish high-quality outputs in leading journals in business, economic and international business history
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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical