59 parallel-computing-numerical-methods-"Prof" Fellowship positions at The University of Queensland
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dynamic research environment. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals
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coherent research program with an emerging profile in coral reef studies. Supervision and Researcher Development: Supervise and mentor researchers and students through effective guidance of Honours and
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the development and implementation of the Living Systematic Review program as part of the National Allergy Centre of Excellence (NACE). This is a unique opportunity to shape national research in food
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for strain engineering in yeast. Conduct microbial cultivation using established fermentation methods and contribute to the development of new fermentation strategies as needed. Coordinate and execute sample
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providers and communities, informed by data from other ARC-IFC themes, and guided by relational Indigenous methodologies. Key responsibilities will include: Research: Establish a research program, collaborate
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, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your
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opportunity to make a significant impact on both fundamental science and emerging applications Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek
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-term appointment through to 30 June 2027 This position will be directly involved in the delivery of the research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program
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. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure