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mechanisms of tumour progression. experience with standard molecular biology and cell-based assays; experience with omics data analysis or animal models will be advantageous. evidence of original research
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understanding of the models of care for people with eating disorders. Skilled in qualitative research methods and data analysis tools, with experience conducting interviews with people with eating disorders
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delivery systems. The Post-doctoral fellow will play a central role in executing the research plan, from in vitro mechanistic studies to in vivo disease models, with the goal of identifying and validating
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
- $121,054 + 17% superannuation About the opportunity The School of Civil Engineering at The University of Sydney is recruiting for a Postdoctoral Research Associate in Global Environment Modelling of Soil
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and infectious disease models, with a focus on tuberculosis. demonstrated understanding of the subject-matter within the discipline experience conducting original research and/or engaging in scholarly
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, neurobiological or computational modelling frameworks. Your key responsibilities will involve: Original Research: Conduct original research in the areas of functional and structural neuroimaging, with a focus on
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how control parameters (e.g. bucket speed, size, depth, and packing density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a