Upcoming events hosted by or involving Genetics Otago will be listed here. Please check back regularly for updates. A calendar of events that may be of interest to our members can be found at the bottom of this page and in the sidebar of other pages on this site, please note that this includes events hosted outside of Genetics Otago.
GO Annual Symposium – POSTPONED
As usual, the Symposium will highlight the fantastic research being done by GO members from around the country through presentations, posters and awards.
Date: New date TBC (tentatively 20th February 2025)
Time: 9:00 am – 5:00 pm
Venue: TBC
Programme
A draft programme will be available here soon.
Registration
Registration for this event will open closer to time.
Registration Fee
Due to budget constraints, we will be charging a $50 per person registration fee for all attendees to subsidise the costs associated with the Symposium. We have received confirmation that this registration fee can be paid from S accounts, and if you are in a position to make a donation on top of this fee, we would gladly receive it. However, we do not want the payment to be a barrier to attendance, so if you are not in a position to make a payment, please contact us go@otago.ac.nz.
Payment Methods
Payments from an S account (or other University account) can be journaled to Genetics Otago account GL.10.LH.A14.2541 via your finance associate. Please include the surname(s) of the registrants that the payment covers in the narration.
If you need to make payment using funds from outside the University this can be arranged via the Cashier’s Office. Please contact us for details (go@otago.ac.nz).
Awards
The Annual Genetics Otago Awards including The Genetics Otago Award, Outstanding Mentor Awards, Student Supervisor Award, Publication Awards, Poster Awards and Science Communication Prize will be presented at the conclusion of the Symposium and nominations for these are now open.
All award nominations should be submitted by email to go@otago.ac.nz.
Full details of the awards can be found here: Award Details.
Oxford Nanopore Technology Workshop
Join us at Ōtākou Whakaihu Waka, Dunedin, for a one day Oxford Nanopore Technology symposium. This event, jointly hosted by Genomics Aotearoa and the Genetics Otago ONT hub, will feature research talks highlighting different ONT use cases, a technical sequencing demonstration and an EPI2ME workshop.
This is an in-person event being held on Friday, December 6th at the Ōtākou Whakaihu Waka / University of Otago campus.
Registration for this event is free of charge.
This event is sponsored by ONT, and is supported by the Otago Genomics Facility.
Contact tyler.mcinnes@otago.ac.nz for any queries.
CRISPR Workshop
This event is designed to cater to the diverse community of researchers at the University of Otago who are using or interested in using the CRISPR-Cas diagnostics toolkit. We warmly welcome everyone to attend.
For the workshop, you will need a laptop with either a macOS or a Windows operating system (with Windows Linux subsystem installed). Optionally, it would be advantageous if you have Geneious Prime software installed (a free trial time can be obtained on the official website)
Date: Wednesday 13th December 2024
Time: 9:00 am – 2:00 pm
Venue: Hunter Centre, Room 1.18
Programme: CRISPR-Dx Programme
Please register your attendance using the button below. The workshop will only go ahead if >10 people register, with a cap limit of 20. A final decision will be delivered on December 4th if it goes ahead with the corresponding detailed programme.
Calendar of Events
The below is a calendar of events hosted by GO as well as events hosted by others that may be of interest to our members. If you have an event you would like us to include please contact us here.
Longitudinal studies are common in health-related areas. These studies require appropriate statistical analyses that account for the correlated nature of the data. This two-day course provides an introduction to a range of common approaches for modelling longitudinal and correlated data. Topics covered include descriptive analysis of longitudinal data, linear mixed models, and generalised estimating equations (GEE) for modelling longitudinal data. This course has a strong application focus. You will be learning how to implement these methods using Stata software and interpreting longitudinal results.
This course is designed for quantitative researchers/students who need to have a better understanding of longitudinal models in their work. Participants should have either completed the Regression Modelling course offered in the Centre or have equivalent knowledge in regression modelling for both continuous and discrete data AND have either completed the Stata course offered by the Centre or be familiar with using Stata.
Please note, participants must come with their own laptop with Stata software installed, and be able to import data sets, generate new variables and be able to carry out regression analyses using Stata software.
The University of Otago now offers Stata SE to all staff and students.
This Friday, March 4th Associate Professor Ben Wheeler from the Department of Women’s and Children’s Health (Dunedin) will be presenting the seminar titled “Technology for the management of Type 1 Diabetes – Past, Present, and Future”. Attached is the poster
The seminar will be held at the usual time of 1 pm over Zoom. Please see poster for Zoom details.
Small packed lunches will be available for collection in the ground floor tea room from 12:45 pm onwards.
Ben_Wheeler_poster
We look forward to seeing you on Friday!
Ngā Mihi,
Sunali & Jisha
Are you interested in mentorship as a mentor or mentee? On the 9th of March at 12-1pm the Early and Mid-Career Researchers (EMCR) Committee will be running its first professional development workshop of 2022.
The session is titled ‘Getting the most out of mentorship: Tips for Mentors and Mentees’. We would like to encourage all early and mid-career researchers to join us and learn more about this opportunity. The session will be run over zoom and our guest speaker is Suzy Keene.
Please contact the Organiser for Zoom link details.
STEM Women – Australia & New Zealand Careers Event
I wanted to invite your students to a free virtual careers event, focused on graduate roles and internships, based In Australia & New Zealand.
During the event, students will network live (chat, audio and video!) with graduate employers in different industries, hear insightful presentations from exhibiting companies and ask questions to a panel of women already working in STEM roles!
This event is targeted towards people who identify as female and are studying or recently graduated from, a STEM-related course at university. Students can also apply for graduate roles and internships within the event platform and have skipped interview stages through networking with graduate recruitment teams at our events, so this truly is a unique and exciting opportunity! We have a limited number of places for this free event.
R for Successful Student Projects is back again this semester starting 16th March. Across 9 sessions online, Wednesdays 10am-12pm, Murray Cadzow and Patricia Haden from the RTIS programming team will be teaching R, starting with an introduction to R syntax, through to using R with a focus on data, then onto how to use R programmatically. During each session, there will also be time to seek help and advice on how to use R for your own projects.
Staff are welcome to join in.
Please register your interest at https://rtis-training.github.io/r4ssp.
This Friday March 18th Dr Tania Slatter from the Department of Pathology (Dunedin) will be presenting the seminar titled “p53 Isoform Contributions to Brain Cancer”. Attached is the poster.
The seminar will be held at the usual time of 1 pm over Zoom.
Zoom Link:
https://otago.zoom.us/j/98905607169?pwd=N21NQ0FINnpIMHZUMng4Y0kzQ0FhUT09
Meeting ID: 989 0560 7169
Password: 566363
Small packed sandwiches, muffins and snacks will be available for collection in the ground floor tea room from 12:45 pm onwards.
We look forward to seeing you on Friday!
R for Successful Student Projects is back again this semester starting 16th March. Across 9 sessions online, Wednesdays 10am-12pm, Murray Cadzow and Patricia Haden from the RTIS programming team will be teaching R, starting with an introduction to R syntax, through to using R with a focus on data, then onto how to use R programmatically. During each session, there will also be time to seek help and advice on how to use R for your own projects.
Staff are welcome to join in.
Please register your interest at https://rtis-training.github.io/r4ssp.
R for Successful Student Projects is back again this semester starting 16th March. Across 9 sessions online, Wednesdays 10am-12pm, Murray Cadzow and Patricia Haden from the RTIS programming team will be teaching R, starting with an introduction to R syntax, through to using R with a focus on data, then onto how to use R programmatically. During each session, there will also be time to seek help and advice on how to use R for your own projects.
Staff are welcome to join in.
Please register your interest at https://rtis-training.github.io/r4ssp.
R for Successful Student Projects is back again this semester starting 16th March. Across 9 sessions online, Wednesdays 10am-12pm, Murray Cadzow and Patricia Haden from the RTIS programming team will be teaching R, starting with an introduction to R syntax, through to using R with a focus on data, then onto how to use R programmatically. During each session, there will also be time to seek help and advice on how to use R for your own projects.
Staff are welcome to join in.
Please register your interest at https://rtis-training.github.io/r4ssp.
R for Successful Student Projects is back again this semester starting 16th March. Across 9 sessions online, Wednesdays 10am-12pm, Murray Cadzow and Patricia Haden from the RTIS programming team will be teaching R, starting with an introduction to R syntax, through to using R with a focus on data, then onto how to use R programmatically. During each session, there will also be time to seek help and advice on how to use R for your own projects.
Staff are welcome to join in.
Please register your interest at https://rtis-training.github.io/r4ssp.
