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to identify microbial indicators for monitoring marine ecosystems using large-scale short- and long-read sequencing data. You will collaborate with a dynamic team of internal and external researchers to achieve
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driving innovative approaches to the use and analysis of large-scale urban mobility data. As an emerging specialist in urban data analytics, you will collaborate closely with the URBANiQ director and data
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to lead and support high-quality data analysis, contribute to manuscript preparation, and supervise Honour and Higher Degree by Research students, as well as psychiatry registrars undertaking scholarly
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, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can
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methodologies and contribute to a new data product that integrates model outputs into our platform - helping us better understand environmental exposures and health outcomes. About This Opportunity This is a
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experience in machine and/or deep learning applied to geospatial data. Demonstrated experience in the use of HPC and handling of very large datasets. Experience in software development and contribution
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the solar farm industry to develop and validate methods to enhance reliability of large solar farms. The role will focus specifically on research and development for solar farm operation and maintenance
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! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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of microbial solvent extracts, fractions and pure natural products. Undertake large scale microbial cultivation to produce, and use semi-preparative and preparative scale chromatography (HPLC, SPE, GEL