262 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" uni jobs 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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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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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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creative ambition, ensuring programs are supported by high-performing teams, integrated digital platforms, trusted data, and streamlined processes, positioning Monash to deliver impactful campaign outcomes
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read the application details carefully and submit your application by the deadline. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu
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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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the organisation. About you: Degree in Computer Systems or Software Engineering (or related discipline) Experience in software development, including WPF and ASP.NET Core Familiarity with JavaScript frameworks
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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
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strong working relationships with central services, contractors and key stakeholders Collecting and reporting on operational data to support informed decision-making About Monash University At Monash
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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