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how bespoke surveys, standardised data sets, advanced quantitative analysis, and qualitative data can inform government policy and decision making in the marine environment, while building capacity
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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We are looking for a highly motivated and skilled Research Fellow to join a project that integrates multi-omics analysis with machine learning and AI, aimed at advancing drug target discovery
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, Analysis, and Services Program (GRASP) scientists. Learning Objectives: When training with the SSS, under the guidance of a mentor, you will further your understanding of micro- and nanoplastics (MNPs) and
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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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Skills participants and analysis of the Kingston Graduate Attributes Index - Analyse alumni survey, employer and engagement datasets to assess long-term skills use, career advancement and graduate-level
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, including the National Environmental Isotope Facility Radiocarbon Laboratory, and analysing complex datasets. Working within an interdisciplinary team, you will contribute to research on soil biogeochemistry
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spatial analysis of heavy metal accumulation. Alongside shaping this research, you will actively share your discoveries through scientific publications and international presentations. Furthermore, you will
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phylogenetic analysis; Automate the production of tables, figures, visualizations, and quality-control summaries; Integrate genomic, laboratory, and epidemiologic data from multiple sources; Train to develop
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Carry out data analysis of spatial transcriptomics data (including integration of publicly available single-cell RNA sequencing datasets from coronary plaques) using computational analysis Analyse