708 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Monash University
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in vivo studies to evaluate drug and biologics delivery across the BBB Performing quantitative analysis of small molecules and biologics Working with in vitro cell culture systems and relevant disease
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collaborative networks The Opportunity Monash University is seeking a Research Fellow to join the Department of Biochemistry and Molecular Biology within the Monash Biomedicine Discovery Institute at the Clayton
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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological
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Cybersecurity is an interdisciplinary field. There is an urgent need to build up talent in human factors in cybersecurity. This PhD will provide the candidate with a unique pathway into industry
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Project Background and Motivation The "inverse design" of molecules from analytical spectra (such as MS2, NMR, or IR) is a fundamental bottleneck in analytical chemistry, metabolomics, and drug
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-making and ensures the sustainable operation of teaching, research and service delivery activities. The position is responsible for providing financial support and guidance to managers and staff across
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requirements. The role contributes to the development of personalised interventions informed by both clinical expertise and lived experience. The position is responsible for supporting the coordination and
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The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their accuracy is not high when we apply them on brain EEG time series (65
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Maxwell King PhD Scholarship The Maxwell King Scholarship (MKS) is named after Professor Maxwell King, who has made an outstanding contribution to graduate research at Monash University, including
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model