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focused on optimisation technology and its application in architectural design. About the Role: You will work on a dynamic project aimed at developing automated optimisation approaches to enhance building
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and capacity of community batteries and community renewable generation The number, capacity and control of individual DER Sequencing and control of grid forming inverters The number of intra and inter
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to real ChIP-seq and CLIP-seq datasets with well-defined binding sites as a control that it works with real biological data Apply MML to ChIP-seq cardiac datasets where no primary or secondary binding site
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Addiction Studies and holds an NHMRC Leadership Fellow in the School of Psychological Sciences, Monash University. His research focuses on the cognitive and neural mechanisms underpinning executive control
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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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Fellowship at LMU Munich, and a postdoc position at RMIT University. My nanophotonics research seeks to uncover the underlying physics in structured light-matter interactions at nanoscale. We aim to develop
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known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
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Testing self-driving cars is extremely difficult, as one has to account for a very large space of possible scenarios. In this project, we will explore the application of automated testing techniques
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. Machine learning has been found to introduce and perpetuate discriminatory practices by unintentionally encoding existing human biases and introducing new ones. In this project, we will develop automated