260 data-"https:" "https:" "https:" "https:" "https:" "RMIT University" uni jobs at Monash University
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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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Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20). Hua, Yuncheng; Qi, Daiqing; Zhang, Jingyao; Qi, Guilin; Li, Yuan-Fang. Less is More: Data-efficient Complex Question
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Algorithms for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing) AI of Neural Connectivity for Biomarker and Treatment-Response Discovery Establishing
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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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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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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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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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assays, bacterial susceptibility testing, and related laboratory procedures. Supporting research operations and data integrity by managing experiment scheduling, collecting and analysing data, preparing
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into action, where you harness data to challenge the status quo, modernise practices and embed smarter, more agile ways of working. Collaborating with senior leaders across eSolutions and the wider University
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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