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-antigens. The successful candidate will employ a broad suite of immunological and molecular tools—such as flow cytometry, cell-culture, single-cell RNA sequencing, data analysis and in vivo models
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between-sample variability and optimise the reliability of downstream quantification estimates from eDNA data. Establish sampling, laboratory, or bioinformatic methods, in conjunction with new sequencing
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/or informatics proven experience in original research, and scholarly activity experience in next-generation sequencing data analysis and cross-disciplinary research high-level skills in communication
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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(working as part of a team), and attention to detail. Experience in programming multiple languages (Python, MATLAB, Simulink, C++, VBA, etc) Some experience in developing machine learning models Demonstrated
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-generation sequencing data analysis and cross-disciplinary research high-level skills in communication, leadership, and collaboration a developing network of academic, industry, and professional partners. Pre
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collection and the collation of results as a principal investigator or associate investigator. Develop and implement research strategies and plans in alignment with the University and School’s overall research
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potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
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University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are
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and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research