4 trainers found

Expertise technical: Qualtrics  or CloudStor  or scanning electron microscop... 


Aidan Wilson

Aidan Wilson is Intersect's Digital Research Services Manager. Before that he had been a Digital Research Analyst at Intersect Australia since 2015, and in that time has been central to the administration and delivery of Intersect's training platform. Besides delivering training at ACU and...

Location: Sydney, NSW

Wilson Aidan aidan.wilson@intersect.org.au Sydney, NSW Aidan Wilson is Intersect's Digital Research Services Manager. Before that he had been a Digital Research Analyst at Intersect Australia since 2015, and in that time has been central to the administration and delivery of Intersect's training platform. Besides delivering training at ACU and elsewhere on Python, R, REDCap, Qualtrics and other tools, he also manages the systems within Intersect that enable the organisation to train upwards of 6000 researchers per year. ["English"] https://orcid.org/0000-0001-9858-5470
Kathryn Hall

Kathryn is a skilled invertebrate animal taxonomist. She is employed by the National Imaging Facility as the Training and Community Engagement Manager for the Australian Characterisation Commons at Scale (ACCS) Project. Currently based on campus at The University of Queensland (UQ), she worked...

Location: Brisbane, Australia

Hall Kathryn kathryn.hall@uq.edu.au Brisbane, Australia Kathryn is a skilled invertebrate animal taxonomist. She is employed by the National Imaging Facility as the Training and Community Engagement Manager for the Australian Characterisation Commons at Scale (ACCS) Project. Currently based on campus at The University of Queensland (UQ), she worked for 15 years in the museum sector, after completing her studies at UQ. Her role with the ACCS is to help the researchers who want to use HPC through CVL. Her goal is to establish rapid independence on the platform for all users, from novice to expert, and facilitate the development of deep and expert capacity within the Australian characterisation community. Kathryn has expertise in: * invertebrate animal taxonomy * phylogenetics and morphometrics * biological characterisation using light microscopy and scanning electron microscopy * DNA sequencing * phylogenetics and evolutionary biology * community engagement * training and learning ["English"] https://orcid.org/0000-0002-8785-4513
Mar Quiroga

Mar Quiroga is a Senior Research Data Specialist at the Melbourne Data Analytics Platform (MDAP) in the University of Melbourne, where she collaborates with researchers across all domains to bring the benefits of data-intensive methods to their fields. She is currently leading the HASS Taskforce,...

Location: Melbourne, Australia

Quiroga Mar mar.quiroga@unimelb.edu.au Melbourne, Australia Mar Quiroga is a Senior Research Data Specialist at the Melbourne Data Analytics Platform (MDAP) in the University of Melbourne, where she collaborates with researchers across all domains to bring the benefits of data-intensive methods to their fields. She is currently leading the HASS Taskforce, an exciting initiative that aims to empower and inspire researchers in the Humanities, Arts, and Social Sciences to embrace the potential of digital methodologies and create communities of practice and peer support. Mar is a certified Carpentries instructor and holds a BSc/MSc in Mathematics from the University of Cordoba, Argentina, and a PhD in computational and experimental neuroscience from Rutgers University, USA. ["English", "Portuguese", "Spanish; Castilian"] https://orcid.org/0000-0002-8943-2808
Nick Wong

Based within the Monash Bioinformatics Platform and a certified Carpentries instructor, Nick is also involved with Monash Data Fluency in training and teaching on genomics, bioinformatics and R.

Location: Melbourne, Australia

Wong Nick nick.wong@monash.edu Melbourne, Australia Based within the Monash Bioinformatics Platform and a certified Carpentries instructor, Nick is also involved with Monash Data Fluency in training and teaching on genomics, bioinformatics and R. ["English", "Chinese"] https://orcid.org/0000-0003-4393-7541