249 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" uni jobs at Monash University in Australia
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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
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the specified deadline. If you are a new applicant, you must first receive an invitation to apply from the relevant faculty before beginning your application. For more information visit our website or contact
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marketing, data analytics or related marketing fields. Ideal applicants will be passionate about student learning, capable of delivering high-quality tutorials that connect marketing theory with real-world
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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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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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scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine for a long time
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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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application by the deadline. For more information on the funding scheme, contact the team in Global Engagement on E: ge-HDR@monash.edu For more information on applying to Monash, visit our website or contact
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form forms.gle/CSTvuK5hcS9a5E147 Enquiries: For further information please contact the Monash Animal Ethics Office: animal.ethics@monash.edu Supporting a diverse workforce
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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