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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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economy ecosystem” The sub-projects are ‘Building public trust in upcycling’ and ‘Designing upcycling business ecosystems’. You will conduct independent and collaborative research with Prof Jo Lindsay and
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Leadership: Provide expert guidance in the design, testing, and maintenance of model improvements, ensuring robustness and scalability Collaboration: Work closely with a distributed team of research software
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods
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, or to enter and stay in Australia, without any limitation as to time. Applications are due by 31st May and 31st October each year. If you are interested, please contact Prof Kim Marriott, Director of MATS
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by the University. Enquiries: A/Prof Ben Beck, Head - Sustainable Mobility and Safety Research, ben.beck@monash.edu Position Description: Position Description Applications Close: Sunday 17 August 2025
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analysis of data, including ensuring effective security, storage and distribution of data, records and reports Provide sound and timely advice, guidance and support to residents, other staff, clients and
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention