63 structures "https:" "https:" "https:" "https:" "https:" "Robert Gordon University" positions at Monash University
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with the industry partner A structured professional development and training program to develop your applied research skills The project is entitled “Project 2: Techniques and Frameworks for Enabling
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of the United Nations Sustainable Development Goals (SDGs) across different national contexts, and seeks to explain variations in impact through existing governance structures and socio-political conditions. The research
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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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interested in, please apply via our website and complete the online expression of interest form https://www.monash.edu/ research-ethics-and-integrity/ animal-ethics/accordion- content/accordion_1 For further
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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
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largest department within the School of Biomedical Sciences. Research spans cell biology, signal transduction, host pathogen interactions, structural biology, immunology and developmental biology, with
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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administrative and operational support within a structured compliance and mobilisation environment. You will support mobilisation, onboarding, and contractor compliance processes, ensuring accuracy, timeliness
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for detection of steroid hormones at ultra-low detection limits using biophysical methods. The role is intentionally structured as a 50:50 appointment between the Faculty of Information Technology (Data Science
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across