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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of work and be completing
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strongly encouraged. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome
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those leading to dementia and neuroinflammation. We have a strong focus on mechanistic dissection of genetic, molecular cellular and neuropathological processes which underlie across the neurodegeneration
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characterisations and advanced characterisations such as X-ray, electron, and neutron scattering and imaging experiments. You will undertake independent and collaborative research and will be expected to write up
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calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with
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that can be designed and optimised for both passive and active photonic components, allowing for the full suite of device functionality to be incorporated via simple and low-cost processes on a single
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for an outstanding candidate with expertise in the processing, analysis and application of satellite data in environmental monitoring and management. Experience in the use of satellite data for water quality
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that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot