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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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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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: Research: Conduct high-quality research in line with discipline standards, publish in reputable outlets, pursue competitive funding, and contribute to knowledge translation and commercialisation. Develop a
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-based high performance computing facilities desirable. A demonstrable track record in excellence in research evidenced by peer-reviewed journal articles published in high quality journals relative
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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of information theory and apply them to critical biodiversity, fisheries, disease, and invasive species challenges. Key responsibilities will include: Research Lead peer-reviewed publications in high-quality
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biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
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of biophysical properties within cellular environments, the project addresses a major gap in current biological and biophysical research. Optical tweezers, with their non-contact and high-resolution capabilities
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Fellow to join The University of Queensland’s Node of the EarthBank Program — a newly established national geoscience initiative under NCRIS AuScope. EarthBank is a transformative program aimed at