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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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produce preliminary experimental data in the field ofrheumatology and musculoskeletal (MSK) medicine which in turn may allow the fellow to develop a competitive PhD fellowship application. Although research
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limited to) initiating and leading on research projects, applying for external research funding, supervising PhD students, producing high quality outputs, working collaboratively with non-academic partners
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to $116,094 (PhD Enty Level - $108,156) p.a. plus 17% super Level B - $122,212 to $145,121 p.a. plus 17% super Contribute to international agricultural research Develop sustainable nitrogen management
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how individuals and societies (including militaries and states) fight, experience, and understand (perceive, explain, and de/legitimise) warfare. The project will use AI methods to mine and measure
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and multi-omics data analysis across FMI projects. Working closely with biologists, bioinformaticians, and software developers, this role focuses on integrating advanced computational methods with
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from Non-Destructive Testing methods, Interferometric Synthetic Aperture Radar (InSAR) or similar, using software tools such as MATLAB and Python amongst others. Prior hands-on experience in optical
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and Muon Facility and will interact closely with Prof. Bull’s team of high-pressure research scientists. The successful candidate will hold a PhD in the area of high-pressure chemistry or physics, with
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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological