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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
and post-transcriptional regulation. Proficiency in multi-omics data integration and interpretation of complex cellular heterogeneity, along with strong computational skills to build and implement
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PhD research on “Progressive Voices/Movements in Islamic Theology in the (Post-)Secular Society of 21st Century” The main purpose of this recommended research project is to promote the academic
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics Enquiries: Yuling Wang at yuling.wang@mq.edu.au Applications Close: Wednesday 9th of July at 11:59pm (AEST) Applicants must have valid work
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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this position, you will have: PhD or equivalent in relevant field Evidence of experience in some or all of the following: bacterial culture, mammalian cell culture, antimicrobial testing, advanced imaging
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applied research skills.EligibilityThe applicant must:•be an Australian citizen or a Permanent Resident, or a New Zealand citizen•meet the entry requirements for a QUT Doctor of Philosophy, including any
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(Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics If you're already part of the Macquarie Group (MQ University
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enthusiastic individual to join our dynamic team and contribute their unique skills. The Plant Accelerator® has a range of automated phenotyping systems collecting water use data and images over time, as