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fuels through rheological control. The project also encompasses fundamental kinetic modelling, mechanistic studies using in-situ spectroscopy, and preliminary techno-economic assessments for future scale
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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Responsibilities: Manage and conduct physiological experiments using the VR bike simulator and a climate controlled laboratory Coordinate ethics submissions, participant recruitment, and trial management Perform
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Financial Accountant will maintain financial controls, detailed reconciliations, manage projects that enhance financial processes and practices, while also leading and developing a high-performing team to
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University seeks an accomplished professional to lead and enhance risk management across the Monash Group. This includes central divisions, faculties, controlled entities, and international campuses. In
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. This collaborative initiative between Monash University’s SensiLab and RMIT University’s Tectonic Formation Lab aims to develop new design methodologies that control the spontaneous dynamics of emergent systems with
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room solutions and enterprise wide management. Proven skills in audiovisual hardware/software, AV control system programming and AV digital and analogue cabling and communications protocols. Excellent
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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managing consolidated financial reporting for the University and its controlled entities, while ensuring full compliance with regulatory and audit requirements. This position will be responsible for managing
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planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally, student will apply sim-to-real adaptation strategies to generalize deep learning