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Research Fellow in Earth System modelling Job No.: 682250 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled. We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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plant molecular physiology for major crops in South Australia. Outputs from this investment will lead to new research discoveries related to fundamental understanding of molecular biology, physiology and
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Centre for Horticultural Science Full-time, fixed-term position for up to 2 years Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation (Academic Level A) Based at our Dutton Park Campus About This Opportunity This is an exciting opportunity for a Postdoctoral Research...
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available for passionate and early career Researcher to join our team within the College of Science and Engineering as a Postdoctoral Research Fellow, Geophysical Ore Body Modelling. Full-time; fixed-term
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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companies. These three research focused opportunities are being sought as follows: Positions 1 and 2 will conduct research into melanoma treatment resistance. Ideal candidates will have knowledge of molecular
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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The Coastal and Regional Oceanography group at UNSW is a dynamic team of researchers, including academics, postdocs, data scientists, technical staff
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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, biologists, and clinicians. Key responsibilities will include: Research: Develop nanomaterial-based technologies for molecular detection and cell analysis. Integrate biosensing components (e.g., optical