12 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" Fellowship research jobs at The University of Queensland
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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opportunities for student supervision and career development. For more about the Fairlie Group please visit - https://imb.uq.edu.au/research-groups/fairlie . Key responsibilities will include: Research
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Observatory here: https://internetobservatory.org.au/about Key responsibilities will include, but are not limited to: Research: Establish a research program, collaborate on research projects, seek and manage
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apply advanced analytical chemistry techniques to investigate the bacterial cell wall. About the Vollmer Group - https://imb.uq.edu.au/research-groups/vollmer . Key responsibilities will include
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Australian and New Zealand Concussion Guidelines (https://anzconcussionguidelines.com ). Working with a world-class team of neurologists, GPs, neuropsychologists, implementation scientists, and human-centred
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funding Knowledge on a coding language (Phyton, etc) The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, conduct concerning gender
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(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
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and optimise code and digital-twinning platforms with industry partners, produce high-quality research outputs and reports, contribute to funding applications, and deliver training workshops and
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representatives. Analyse and code empirical data using project-specific frameworks. Contribute to research publications and dissemination in high-impact outlets. Support knowledge translation and engagement with
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results. High levels of personal integrity, transparency and capability. Experience in crop model coding is desirable. Experience in statistical analysis and data visualisation (e.g. R, Python) is desirable