25 modelling-complexity-geocomputation Postdoctoral positions at University of Sydney
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reviewed journals demonstrated experience in mineralogical analysis using XRD, XRF and chemical procedures experience in geochemical modelling in aqueous systems is highly desirable skills and abilities
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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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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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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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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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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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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
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ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional