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to comparative analysis across cities, and help develop outputs including working papers, policy briefs, blogs, academic publications and conference presentations. You will be responsible for: supporting local
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Postdoctoral Research Assistant/Fellow (depending on PhD holding status) to join the Advanced Biosensing Technology Group at University College London to work on an exciting project for the detection of novel
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coordination of research projects, oversee day-to-day research activities within the Belz Research Group, manage experimental workflows and data analysis, and maintain best-practice research methodologies and
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, implementation, analysis, and publishing of high impact peer-reviewed papers · Leading completion of ecological field work and data collection, including leading a small team of undergraduate students
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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
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under internal company contract and in external collaborative projects etc. Key Qualifications: PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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microbiome or multi-omic data analysis, causal inference methods, or infectious disease epidemiology is preferred but not required Research and Training Environment The fellow will join a collaborative
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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Fellow will contribute to experimental design, data analysis, manuscript preparation, grant development, and the supervision of students and research staff, helping to advance the laboratory's