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into pioneering research that bridges between environmental science, polymer chemistry and advanced data analytics. This PhD position is a chance to make a tangible impact on global environmental challenges related
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This project aims to advance chemometrics, artificial intelligence (AI), and data analytics techniques for characterisation of materials in decommissioning nuclear sites to enhance detection
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explore how brand narratives evoke emotions, build relationships, and influence consumer decision-making. By leveraging insights from behavioral science (psychology), data analytics, and AI-driven
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specimens, on subjects. The incumbent will also need to track subjects and specimens in study database and may need to abstract medical record information on subjects/specimens and enter these data
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entitled to work in Australia on a permanent basis. The Data Visualisation and Immersive Analytics Lab is home to the Embodied Visualisation Research Group, Australia’s leading team of researchers exploring
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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acquired substantially equivalent knowledge in some other way, more information about the general requirements can be found here . Special eligibility to doctoral studies in Analytical Chemistry requires
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summary and responsibilities Define the role of primary cilia in glial cells in development and disease, using both mouse models and human cells. Analyze data from molecular, genetic, imaging, and