355 data "https:" "https:" "https:" "https:" "Dr" "L2CM" positions at Monash University
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, reports and correspondence Order consumables and support procurement processes Support events including workshops, conferences and functions Reconcile expenses and ensure accurate data management Research
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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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providing guidance to research staff and students. A strong focus on clinical trial management, data integrity and the effective use of systems such as REDCap underpins the delivery of rigorous and compliant
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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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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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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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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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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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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form forms.gle/CSTvuK5hcS9a5E147 Enquiries: For further information please contact the Monash Animal Ethics Office: animal.ethics@monash.edu Supporting a diverse workforce