251 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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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
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political movements (e.g. far-right nationalism, authoritarian anti-democratic groups, militarised theocratic regimes) to shape pathways to violence? The PhD project will collect and analyse qualitative data
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[email protected] for more information. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit
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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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senior leaders, community representatives, and academic colleagues. You will demonstrate sound judgement, discretion, and a strong commitment to customer service, alongside advanced computer literacy and
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, including data collection, analysis and documentation. Identifying and resolving technical issues and contributing to continuous improvement initiatives. Ensuring compliance with laboratory protocols, quality
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
++, Java, or Python code, Basic static analysis tools such as Semgrep, CodeQL, or SonarQube Nice to Have CodeBERT, CodeT5, or GraphCodeBERT, Program analysis, Data-flow and control-flow understanding
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to key project activities including interviews, observations, co-design workshops, feasibility testing, data analysis, manuscript preparation and knowledge dissemination. Working independently and