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degree in analytical chemistry or environmental sciences with an interest in biogeochemistry. He/she is passionate about environmental issues, rigorous and highly motivated. Experience in analytical
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application. They will be part of a team that does both developmental and analytical microscopy. Developmental microscopy involves building and developing new tools and techniques to push the boundaries and
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This PhD project aims to develop and apply innovative photogrammetry-based analytical tools to enhance the spatial and structural characterisation of pharmaceutically relevant materials, with a
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Your Job: You will develop instrumental analytical and theoretical methods to determine the origin of hydrogen and, in particular hydrogen carriers (including methanol, LOHC systems, formic acid) by
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experience and enthusiasm for experimental work Basic knowledge of instrumental and preparative chromatography Fluent in written and spoken English Confident handling of common analytical software (e.g. Excel
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Your job Do you consider the availability of safe food as one of the great challenges of our era? Are you eager to take on the challenge of improving analytical techniques in the plant toxin field
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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron holography, combined with ultra-fast laser excitation and ultra-short electron pulses, to monitor...
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The Analytics for the Australian Grains Industry (AAGI) initiative is a five-year strategic partnership to enhance the profitability and global competitiveness of the Australian grains sector
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent