Monday, 24 Jan 2022
  • News

Attended by Bioinformaticians and Statisticians within the Biological Data Science Institute and ANU Bioinformatics Consultancy Unit (JCSMR) - the Bioinformatics and Statistics Drop-in sessions are a free (weekly) resource open to all Life Science Researchers and Students. 10 - 11am every Tuesday from 1st Feb 2022

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Friday, 17 Dec 2021
  • News

To celebrate fifty years, the School of Computing are offering Jubilee Joint Fellowships in partnership with a host of schools, institutes and centres across ANU.

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Friday, 19 Nov 2021
  • News

Want to learn more about stats? Want to brush up on your R skills? Want to hang out with the cool nerds? Want to supercharge your research with better stats? We promise this will be great fun and well worth your time for years to come if not for the rest of your life.

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Tuesday, 03 Aug 2021
  • Student profile

Rhys Tooth is our new BDSI student intern working with Dr. Teresa Neeman. He is in his final year of his Bachelor of Statistics program at the College of Business and Economics at ANU.

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Friday, 30 Jul 2021
  • News

Elle is a PhD student at CBE and the University’s Biological Data Science Institute. She has been a tutor for statistics courses for a few years across several institutions. Her goal as a tutor is to awaken a love of statistics in all her students, even those who are not mathematically inclined.

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Friday, 30 Jul 2021
  • News

Dr James Nichols shares his experience in first semester 2021, convening MATH3062 – Fractals and Chaotic Dynamics. Being James' first time delivering the course and to spice things up, he chose to present the course in the flipped classroom approach – delivering edited and concise online lecture material. 

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Thursday, 29 Jul 2021
  • Research story

Dr James Nichols features in SIAM Review, with a Paper quite relevant to Biological Modelling.

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Monday, 19 Apr 2021
  • News

Celebrating success. Nidhi Menon has been awarded her PhD.

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Friday, 12 Mar 2021
  • News

Over two one-day workshops (run remotely via Zoom), students will develop the skills and confidence to work with their data using R during their research projects.

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