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research-operational partnerships and learning about systems involving forest fuels and fire emissions modeling. They will gain experience with modeling, coding, and database management in support of a
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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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provide guidance to MSc and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Person
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pharmacology and modeling strategies and building clinical pharmacology and pharmacometrics models to support dose selection at various stages of drug development. The Fellow will support the Clinical
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evaluate field characterisation and monitoring data to develop geothermal resource models for individual project demonstration sites. About the person: Successful candidates need to: Have a PhD in Geology
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. vector design and generation, genetic murine models, and/or genome editing), a strong understanding of physiology and disease models, as well as a track record of innovative scientific contributions
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Cryptographic Hardware Engineering System-level modelling and simulation Proven publication record in relevant peer-reviewed venues. Excellent analytical, problem-solving, and system-level thinking skills. Strong
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Hardware Engineering System-level modelling and simulation Proven publication record in relevant peer-reviewed venues. Excellent analytical, problem-solving, and system-level thinking skills. Strong verbal
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and international academic researchers, research assistant(s) and research students to develop a unified computational model of how humans use automated advice. Undertake independent and collaborative