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-series data interest and experience developing and working with open scientific software interest in analyzing the dynamics of complex physical systems interest in using statistical learning to infer
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imaging technologies. Our research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, MRI-Physics, radiation therapy physics, and computational
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Claire O’Callaghan, the successful candidate will join a collaborative, interdisciplinary team, where they will be supported to develop their own research questions and lead projects. Experience in
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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to undertake a range of research tasks, researcher skills and capacities mapping, project management and development, and primary research writing. Your key responsibilities will be to: work closely with several
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District. Your key responsibilities will be to: undertake collaborative research in metagenomics focusing on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches
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at the interface of polymer chemistry, solid-state materials and electrochemistry develop and optimise templating techniques for controlled structure formation and material design design, characterise, and optimise
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About the opportunity The Cancer and Stem Cell Laboratory is dedicated to understanding how normal stem cells transform into cancer stem cells and to developing targeted therapies that eliminate
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large
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from molecules to medicines, from patient to policy across a range of therapeutic areas. The Postdoctoral Research Associate applies and develops their expertise in conducting research to further