Displaying 1 - 12 of 228 matching scholarships

David Klingberg Memorial Scholarship

Study area
Engineering

Novel 360 degree viewing widget of menstrual cycle (Honours or MPhil scholarship)

Work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Health,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Novel Bayesian modelling and advanced inference to infer hydration state and dynamics

Study area
Data science,
Health,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Prediction of relative hormonal environment for all common menstrual cycle 'types' (Honours or MPhil scholarship)

Work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Health,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Profiling athlete's throwing mechanics from video using high precision computer vision (PhD scholarship)

Work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Scanning and off-ball effort in rugby (PhD scholarship)

Work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

AI and ML techniques for predicting future Olympic and Paralympic medal-winning performances

Advance the understanding of Olympic and Paralympic medal-winning performances by employing Artificial Intelligence (AI) and machine learning (ML) techniques.

Study area
Data science,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Analysis of training and racing in sprint kayak of cohort data over time (MPhil scholarship)

A scholarship to work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Biology-based mental health correlations and predictions in athletes (Honours or MPhil scholarship)

A scholarship to to work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Health,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)

Study area
Science, technology, engineering and mathematics
Eligibility
Academic performance

Making advanced AI tools accessible to sports practitioners (PhD scholarship)

Work with a team of leading researchers, to undertake your own innovative research in and across the field.

Study area
Data science,
Mathematics,
Science,
Science, technology, engineering and mathematics
Eligibility
Indigenous Australian,
Academic performance,
Struggling financially,
From regional, rural or remote areas,
Sporting excellence,
Women,
From a non-English speaking background

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