297 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University in Australia
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Semester 2, close in May. Applications for a placement in Semester 1, close in October. Exact dates will be communicated by the Unit coordinator. Information sessions to be held prior to the application
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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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communications and meaningful staff engagement activities. Provide insight and analysis: Lead complex research and data analysis to inform executive decision-making and manage risk. What You'll Bring You’re a
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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existing tokenization frameworks, analyzing potential risks, and developing novel security protocols to protect sensitive data and ensure the integrity of tokenized assets. Applicants will investigate
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement
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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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academics into its Software Systems and Cybersecurity and Data Science & AI Departments. The Department of Data Science & AI is seeking a Teaching & Research academic working in Large Language Models and
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows