106 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" Fellowship positions in Australia
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facility in Mickleham, Victoria. You will work closely with DAFF plant pathologists and CSIRO experts in microRNA research and bioinformatics, as part of CSIRO’s structured early‑career development program
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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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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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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise
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experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build an independent research profile through structured mentorship in
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in human induced pluripotent stem cells (hiPSCs)-derived skin organoids (https://pubmed.ncbi.nlm.nih.gov/38044307/ ), and the generation of vascularized skin organoids (https
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experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build an independent research profile through structured mentorship in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 23 hours ago
mix of shortlisted candidates for interview. For more information about staff equity at the University, visit https://services.anu.edu.au/human-resources/respect-inclusion We welcome and develop
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for this role. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408532/aola-richards-postd… Requirements Additional Information Work Location(s) Number of offers available1Company
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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