72 structures-"https:" "https:" "https:" "https:" "UCL" "UCL" positions at Monash University
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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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advanced molecular and structural biology research Play a key role in laboratory leadership and capability Join a world-class biomedical research institute at Monash The Opportunity The Faculty of Medicine
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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requirements are available at https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Your application will be looked upon favourably if you: Graduated in the top 10% of your year level
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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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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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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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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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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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various skin condition/s. Relevant resources: DOI: https://doi.org/10.1007/978-3-031-43987-2_20 DOI: https://doi.org/10.1007/978-3-031-43907-0_54