17 phd-numerical-analysis Fellowship research jobs at University of Adelaide in Australia
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need: A PhD in epidemiology, public health, medical sciences or other areas relevant to primary health care Demonstrated experience contributing to the coordination of quantitative health research
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(Level B) $114,917 to $135,932 per annum plus an employer contribution of 17% superannuation applies. Fixed term fulltime position for 12 months JBI is looking for a Level B Research Fellow to join their passionate team. JBI is a global organisation promoting and supporting evidence-based...
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. To be successful you will need: PhD in Educational Technology (in the final stages), or equivalent qualification Emerging record of research excellence in educational technology with recent high-quality
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
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PhD students working on related projects within the partnership. Outputs will include: Research publications in high-quality journals and conferences. Innovative AI solutions and prototypes addressing
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Public Policy, providing cutting-edge research in areas such as econometrics, macroeconomics, data analysis, and quantitative methods. Our ideal candidate is comfortable in working independently with a
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cell wall characterisation of a range of crops, including sorghum, sugar cane and rice. This will include monosaccharide quantification using HPAEC-PAD, structural analysis of polysaccharides using PACE
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platform for conducting impactful economic research. To be successful you will need: PhD in applied economics, forensic accounting, ecological economics, criminology or a related discipline. Demonstrated
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong