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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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that harness the RNA trans-splicing technology for cell type-specific gene expression and a novel mitochondrial delivery vector system to deliver therapeutic sequences into the mitochondria of human cells
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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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mentoring and support to students within the discipline contribute to administrative tasks and participate in school or faculty meetings support a positive and inclusive workplace culture aligned with
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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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develop applications for competitive funding. The role reports to Professor Grosjean and has no direct reports. You will: Engage in individual and collaborative research aligned with disciplinary standards
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the excellent opportunity to spend some time with the Behl Group “The Autophagy Lab” . The research will further span cutting-edge imaging technologies, single-cell sequencing, metabolomics, proteomics and
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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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the Mark Hughes Foundation (MHF) Centre for Brain Cancer Research , ensuring alignment with cutting-edge initiatives in brain cancer research and treatment. Background This PhD project aims to design
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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