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Field
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an emphasis placed on participation in animal study preparation and execution. Post-collection processing and analysis of animal specimens may also be performed through laboratory assays, along with
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-seq, ATAC-seq, ChIP-seq, spatial transcriptomics and single-cell data. Familiarity with data integration frameworks, predictive modeling, and network analysis. Experience with cloud computing
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modelling and spatial ecology project focused on urban Singapore. Key Responsibilities: The Research Fellow will develop species distribution models, multi-species occupancy models, biodiversity indicators
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how the resulting multimodal data can support species identification, the characterization of morphological variation, and the spatial analysis of heavy metal accumulation. Alongside shaping
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resource options, including cross-sector co-location. Conduct geospatial and data science analysis supporting site suitability, resource constraint mapping, scenario planning, and the COMPASS interactive
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Completion, or near completion, of a PhD in a relevant field such as marine geology, geochemistry, geochronology or a closely related discipline. An emerging research profile in geochemistry, geochronology
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on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive
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focus on advanced spatial and environmental data analysis. Based at Queen's University Belfast and working closely with Technological University Dublin, the Research Fellow will contribute to a dynamic
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related field. Demonstrated analytical skills, including proficiency with the R environment, spatial analysis and/or social research methods will be well regarded. This role offers a unique opportunity to
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during