Expert Digital Skills Trainer, Abdullah Shaikh, has vast experience training researchers and academics on programming languages, software, and tools. He is also an expert in Data Science, Machine Learning, Data Manipulation, and Visualisation. In addition to training, Abdullah provides research...
Location: Sydney
ShaikhAbdullahabdullah@intersect.org.auSydneyExpert Digital Skills Trainer, Abdullah Shaikh, has vast experience training researchers and academics on programming languages, software, and tools. He is also an expert in Data Science, Machine Learning, Data Manipulation, and Visualisation. In addition to training, Abdullah provides research support at multiple levels and engages with researchers to promote digital tools.["English", "Urdu"]https://orcid.org/0000-0002-5964-8464
Database modelling for Humanities data, introductory and advanced use of the Heurist database infrastructure (HeuristNetwork.org)
Location: Sydney (typically November - February), Paris, France (typically March - November)
JohnsonIanian.johnson@sydney.edu.auSydney (typically November - February), Paris, France (typically March - November)Database modelling for Humanities data, introductory and advanced use of the Heurist database infrastructure (HeuristNetwork.org)["English", "French"]https://sydney.academia.edu/Johnsonhttps://orcid.org/0000-0003-3582-2138
Meirian is the Skills Development Lead (Services) at the Australian Research Data Commons (ARDC). She has experience in teaching tertiary Mathematics and Statistics at the University of Melbourne, and has also trained researchers in Digital Skills with the Melbourne Data Analytics Platform...
Location: The University of Melbourne
Lovelace-TozerMeirianThe University of MelbourneMeirian is the Skills Development Lead (Services) at the Australian Research Data Commons (ARDC). She has experience in teaching tertiary Mathematics and Statistics at the University of Melbourne, and has also trained researchers in Digital Skills with the Melbourne Data Analytics Platform (MDAP). Her primary areas of interest include Education, Data Analysis, Operations Research, Programming, and Statistics. Meirian loves teaching and is enthusiastic about enabling others to benefit from the skills that she teaches.["English"]
I have worked in IT as a developer, software engineer, analyst and project manager for 20+ years. I'm currently working for James Cook University and QCIF as an eResearch Analyst. I primarily instruct the Python and Git training courses but plan on branching out. I'm very interested in ways to...
Location: Townsville, North Queensland
LawreyPaulinepauline.lawrey@jcu.edu.auTownsville, North QueenslandI have worked in IT as a developer, software engineer, analyst and project manager for 20+ years. I'm currently working for James Cook University and QCIF as an eResearch Analyst. I primarily instruct the Python and Git training courses but plan on branching out. I'm very interested in ways to help researchers after that introductory training session and training development.["English"]https://www.qcif.edu.au/support/eresearch-analysts/
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...
Location: GitHub
LangloisTimtim.langlois@uwa.edu.auGitHubStereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way.["English", "French"]https://globalarchivemanual.github.io/CheckEM/index.htmlhttps://orcid.org/0000-0001-6404-4000
