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data Qualifications • Qualifications/Discipline: PhD degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, drug design, etc) • Skills
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comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data. Developing statistical
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chronologically align datasets from the Atlantic Basin, and undertake statistical and time series analysis to explore the latitudinal propagation of climate signals. The post holder will have the opportunity
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
and experiments. Publish results in leading journals and conferences in related fields. Assist the PI in supervising PhD students. Attend international conferences to present the results. Job
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, and (3) undertake statistical and time series analysis to explore the latitudinal propagation of climate signals. The post holder will have the opportunity, subject to starting date and travel
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, integrated, embodied systems, you will co-create, validate, and disseminate a statistical Index of Community Assets (IoCA) to capture aspects of community and belonging in neighbourhoods that are not well
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the program of work Position requirements are: PhD or Masters (Research) qualification or equivalent in health services research, implementation science or a related discipline (eg medicine, nursing, allied
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their best work. The School of Mathematics and Statistics at UNSW is a leading research mathematics school in Australia and enjoys a strong international reputation: http://www.maths.unsw.edu.au/about/about
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Fixed term until December 2026 offering a considerable scope for innovation in the interdisciplinary research. This is an exciting and unique opportunity for an ambitious PhD graduate or post-doctoral
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, or a related field with expertise in neuroimaging, MR imaging analysis, functional testing, statistical analysis, and a passion for translational research. Some prior experience with clinical research is