328 data-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Monash University
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combination between academic research and project/ stakeholder management, including the ability to switch between data collection and analysis, and developing proposals for continued collaboration and funding
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health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health
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. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. For more information, visit: www.monash.edu/medicine/nursing If you are committed
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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an electrical and computer systems engineering degree in the Faculty of Engineering. Total scholarship value $20,000 Number offered One at any time See details Farrell Raharjo Clive Weeks Community Leadership
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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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, data management and coordination support to keep the UCAT ANZ program running efficiently. The position oversees processes across candidate results, research databases, committee activities, financial
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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-centred, data-driven solutions that shift trips from cars to active and sustainable modes of transport – improving health and safety, tackling climate change and bringing local streets to life. We work in
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weighted sum of the risks from tens to millions of independent disease-associated SNPs from across the genome. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression