10 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" 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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profile in developmental psychology, with expertise in children's foresight strongly preferred. A demonstrated record of conducting in-person testing of children, and experience with coding and analysing
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, professional bodies and the community. 4. Other Comply with University policies, legislation and the UQ Code of Conduct, including OH&S, sustainability and ESOS obligations. This is a research focused position
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quantitative and analytical skills, with confidence using spreadsheets and/or coding for analysis Experience with process modelling and TEA tools (e.g., SuperPro, discounted-cash-flow modelling, bioprocess
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. Use coding (e.g., Python, R, MATLAB, or similar) to clean, process, and analyse large MLA datasets and to generate figures, tables, and visual outputs for reports, publications, and presentations
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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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citizenship behaviours align with the ARC-IFC’s Code of Conduct and UQ values. Build and maintain strong relationships with Indigenous communities and ARC-IFC’s community partners and other end-users
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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