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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically, the appointed research fellow
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. The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in
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diversity acting as a role model and fostering an inclusive working culture. Person Specification A master’s and bachelor’s degree in Computer Science, Artificial Intelligence or a related field and a Ph.D
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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Research Fellow — Electric Vehicle Fast Charging Modelling and Control Job No.: 679659 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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sediment volumes, deposition rates and transport pathways through time, combined with onshore exhumation data and topo/landscape models Evaluation of thermocronometric data and provenance data to establish a
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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’) with responsibility for the day-to-day project, budget and research activities. You will also undertake research including developing and fine-tuning large language models and topic modelling methods
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised