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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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-reviewed and grey literature search; supporting data retrieval, cleaning, and analysis; and preparing and co-delivering research outputs for expert consumption or for engagement with external organisations
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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading
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& Technical Development This position focuses on the technical development of FLDT. The postdoc will help develop, build, and maintain a suite of geospatial tools and data infrastructure that support large
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the biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions, insect herbivores
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experience, offering hands-on experience in integrating spatial data with qualitative and survey-based insights. The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department
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and/or quantitative data collection and analysis Working with one or all of the following: schools, community-based organisations and families. Experience of developing and delivering school and
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may be required. Appropriate safety training will be provided. With your application, please provide: Cover letter Prior Work/Research Summary Contact information for 3 references Minimum Qualifications
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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recruiting a full-time Research Assistant (or Associate) to undertake pathogen genomic analysis. The selected candidate will analyse whole-genome sequence data from the parasitic liver fluke Opisthorchis