5 trainers found

Interest: Data Management Systems  or Learning motivation, andrag...  or Research Software Engineering 


Adeline Wong

Adeline is a Skills Development Lead (Learning Design) at the Australian Research Data Commons. She has a background in teaching and curriculum design across a range of educational contexts in Australia and overseas.

Location: Sydney, Australia

Wong Adeline adeline.wong@ardc.edu.au Sydney, Australia Adeline is a Skills Development Lead (Learning Design) at the Australian Research Data Commons. She has a background in teaching and curriculum design across a range of educational contexts in Australia and overseas. ["English", "Chinese"] https://orcid.org/0000-0002-9135-4757
Johanna Bayer

I am a postdoc using machine learning on large neuroimaging data and to make predictions in the filed of mental health. Python, R, Matlab, Stan, front-end dev, Git, Research Software Engineering.

Location: Melbourne

Bayer Johanna bayerj@student.unimelb.edu.au Melbourne I am a postdoc using machine learning on large neuroimaging data and to make predictions in the filed of mental health. Python, R, Matlab, Stan, front-end dev, Git, Research Software Engineering. ["English", "German"] https://orcid.org/0000-0003-4891-6256
Murray Cadzow

Scientific Programmer at the University of Otago. A Carpentries Instructor and Instructor Trainer.

Location: University of Otago

Cadzow Murray murray.cadzow@otago.ac.nz University of Otago Scientific Programmer at the University of Otago. A Carpentries Instructor and Instructor Trainer. ["English"] https://orcid.org/0000-0002-2299-4136
Pauline Lawrey

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

Lawrey Pauline pauline.lawrey@jcu.edu.au Townsville, North Queensland 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 help researchers after that introductory training session and training development. ["English"]
Tim Langlois

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

Langlois Tim tim.langlois@uwa.edu.au GitHub 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 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://orcid.org/0000-0001-6404-4000