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expert and non-expert audiences through presentations and written outputs. About you: You’re an emerging research leader with experience designing and delivering laboratory, analytical and field-based
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qualifications or research experience a record of publications, conference papers and/or reports sound analytical skills with an ability to communicate complex information familiarity in the use of R (or other
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photogrammetry. Demonstrated proficiency in basic analytical (e.g., Image J) and statistical software (e.g., R or Matlab) and statistical analysis. Solution-focused, and proven ability to contribute to a high
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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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. Experience using scientific and/or research methods, techniques, and protocols. Strong organisational skills, with the ability to coordinate multiple tasks and prioritise effectively. Analytical and problem
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+: Strengthening LGBTQ+ Community-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts
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these to some of the most challenging real-world problems surrounding the application of Generative AI in healthcare. We are looking for academic rigour and top-quality outputs, with strong analytical skills
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled
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analytical skills in modelling time trends and prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a
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Computer Society–accredited programs in areas such as computer science, cyber security, software engineering, artificial intelligence, and data analytics. Guided by curricula from the IEEE Computer Society