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with AI, advanced data analytics, and the management of large geophysical datasets to support model analysis and evaluation. The ideal candidate will possess strong communication skills, evidenced by
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day ago
., Epidemiology and Biostatistics), data analysis and interpretation, knowledge mobilization and ability to contribute to community-engaged research; · Strong record of scholarly writing and peer-reviewed
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software Perform data analysis, generate figures, and contribute to the interpretation and presentation of results Write scientific reports and peer-reviewed publications to disseminate research findings
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multidisciplinary research team. Responsibilities include: Conceive and lead research projects Develop standardized analysis pipelines for sequencing data, such as RNA-Seq, ATAC-Seq data and epigenetics, and gene
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language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph databases and structured and unstructured data mining tools
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-resolution MS and quantitative LC-MS/MS. Experience in targeted and untargeted metabolomics workflows, advanced data analysis (including multivariate statistics), and multidisciplinary collaboration is
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- “Analysis of the cross-diffusion systems: New results and applications”. Qualifications Applicants for the Research Fellow post should have a doctoral degree with at least three years of postdoctoral research
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sequencing. Assist in the implementation of analytical pipelines for large-scale omics datasets, including next-generation sequencing and array-based datasets, with a primary focus on methylation data analysis
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, combining desk-based work, qualitative research and critical policy analysis. Characterise and map food system policies and regulations in Northern Ireland and the Republic of Ireland across local, UK/EU and
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and subsurface responses to environmental disturbances. Fellows will practice a variety of data collection, monitoring, and analysis techniques by collaborating on one or more of the following