🆕Industry PhD - Data Science in Sport (Rugby) Excellent opportunity to complete a PhD embedded in sport and supported by experts in data science through the CSIRO Sports Data Science and AI Consortium, UTS & Rugby Australia. Details here: uts.edu.au/scholarship/cs…

🆕Industry PhD - Data Science in Sport (Cricket) Excellent opportunity to complete a PhD embedded in sport and supported by experts in data science through the CSIRO Sports Data Science and AI Consortium, UTS & Cricket NSW. Details here: uts.edu.au/scholarship/cs…

🚨 job alert 🚨 Join our team as Scientific Advisor - Performance Health & shape the future of athlete success! ➡️ Lead cutting-edge projects ➡️ Fuel research & stay ahead of the curve ➡️ Apply now! [link below] sportspeople.com.au/jobs/79660-sci…

1/3 Cricket NSW and UTS have launched a landmark strategic partnership that extends into the CSIRO Sports Data Science and AI Consortium; resulting in a PhD opportunity focused on developing a “hard reset” for cricket analysis.

Jukka-Pekka Onnela Juan Harvard T.H. Chan School of Public Health USC 🚀 Is the kNN algorithm poised to transform data handling and insights discovery in large-scale medical cohort studies?"? Read more here: arxiv.org/abs/2402.01635 #DataScience #kNN

"Identifying sufficiently large and diverse datasets is a significant challenge in medicine and can rarely be found in individual institutions. Adoption of federated learning is expected to lead to models trained on datasets of unprecedented size." nature.com/articles/s4159…

🆕NEW POSITION 🆕: Lecturer in Sport & Exercise Science (Skill Acquisition). Come join our team UTS as a lecturer in skill acquisition and motor control. Balanced, continuing role. Must have rights to work in 🇦🇺 See: seek.com.au/job/74148205 Closes: Monday, 25/03/2024

And Ben Goldacre of Bennett Institute for Applied Data Science gave a great overview of OpenSAFELY - and some straightforward explanations, including this one of synthetic (or dummy) data

I'll present some of our previous work and our work in progress on using hierarchical models in FL settings to better capture data variation across different clients. Joint work with Kerrie Mengersen Rob Salomone Antonietta Mira Joshua Bon QUT Centre for Data Science

#statstab #45 Visualizing Hierarchical Models by Mike Freeman Thoughts: One of the coolest visualisation websites for mixed effects models I had saved. #stats #mixedeffects #hierarchicalmodels #rstats #MLM mfviz.com/hierarchical-m…

Cricket NSW High Performance is pleased to announce the 2024-24 Performance Analysis Intern program. This is a tremendous opportunity for ambitious students to get hands on experience working alongside some of the sharpest minds in Performance Analysis.

Lovely to see this excellent new book on '#FunctionalDataAnalysis with #RStats' by Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, and Erjia Cui now published by CRC Press Data Science, Stats, and Math Books. A thread of some highlights from the endorsements. routledge.com/Functional-Dat…

We are seeking a research assistant to support the Australian Institute of Sport-UTS RTS project (Return-to-sport Using Decision Determinants to Evaluate Risk of Re-injury in Sport). Closing Date: 10 April 2024. Must have rights to work in 🇦🇺; 0.7 FTE; 2-years. See: seek.com.au/job/74754418

This is an exciting opportunity to be involved in high quality research benefitting Australian sport. Please share and/or apply 👇

Read the new article in Sports Medicine from Franco Impellizzeri, with colleagues Ian Shrier & Steven Stovitz, in which they lay out the issue of competing interests in publishing, along with opportunities to mitigate these issues to promote better science. rdcu.be/dHhPd

Register for any of the pre-workshops, for example about functional data analysis! . . . #isbs2024

Synthetic data for sharing and exploration in high performance sport doi.org/10.51224/SRXIV… From John Warmenhoven Franco Impellizzeri et al.

Interested in PhD at the interface of computational stats/ML and motorsports? Join us at UNSW Data Science Hub (uDASH) and work with industry partners Biomedical Performance Technologies analysing athlete, car and track streaming data to enhance athlete performance Deadline: 6th Sept UNSW AI Institute