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physicist with an outstanding research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum
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the delivery of clinical trials within the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research group . In these roles, you will help ensure effective participant recruitment
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. Recent works on knowledge graph question generation [4,5] have mainly focussed on multi-hop questions. This project aims at developing novel methods that jointly address the challenging, dual problem
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for a rewarding career in healthcare. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. For more information, visit: www.monash.edu/medicine
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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Explainable AI or XAI is essential. We will use a variety of XAI methods, such as Grad-CAM, and others. This project will involve a lot of experiments using DL/AI methods. We will use the Monash High
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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quantification This is a unique opportunity to contribute to an internationally recognised research program and shape the future of materials modelling and mechanical engineering. You’ll be part of a supportive