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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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The Senior Lecturer (Practice) will play a pivotal role in shaping and expanding the Creative Destruction Lab (CDL) program. In this position, you will be responsible for the successful preparation and
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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contribute to both research and teaching, helping advance the School’s academic and professional goals. As a Lecturer you would develop a leading research program in Analytical Geochemistry/Petrology and
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should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social science, science
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to detail, accuracy, and understanding of confidentiality principles Well-developed communication skills, with experience drafting documentation and reports High level of computer literacy, including
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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environment Strong proficiency in financial management systems, complemented by exceptional computer skills, with advanced expertise in Microsoft Office software, especially Excel About Monash University
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recruitment, admissions, student services, alumni engagement, and advancement to further the goals of the new Student Management System Transformation (SMST) program. In this pivotal role, you will provide