312 data "https:" "https:" "https:" "https:" "I.E" "UCL" "UCL" positions at Monash University
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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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information about behavioural patterns, but scoring this manually is time consuming. For this reason, machine learning solutions have been developed to automate behavioural prediction [5-12]. DeepLabCut [5] is
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time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage formats the relationship of these issues to Quality Assurance programs in
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML makes an implicit overarching assumption that severely limits its applicability
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research team, you will contribute to complex research activities including data collection and management, quantitative and qualitative analysis, systematic reviews, ethics submissions and preparation
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ambition and leadership qualities in the field of Electrical and Computer Systems Engineering. The scholarship is provided by former Monash University Chancellor Mr Jerry K Ellis and Mrs Ann Ellis, and is
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. "Wide-field quantum microscopy of exotic materials
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potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much