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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
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at least two of the following three case studies: Canada, the US, and the UK, from the 1960s onwards. Drawing on newspaper articles, fan mail, and contemporary scholarly writing, the project will mirror
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Healthcare Cover (Single only) for international students during their doctoral studies. Eligibility Essential You need to meet the entry requirements for QUT's Doctor of Philosophy , including any
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 7 days ago
Soil Model for Australian Broadacre Cropping and Livestock Producers Location: Australia wide – Bathurst, Wagga, Albury, Sydney, Melbourne, Canberra Salary: $42,483 per year Get paid while you develop
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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the diverse range of knowledge and skills of CaLD customers and employees. This project aims to use social identity theory and role theory to develop a comprehensive conceptual model for the process by which
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the optimisation strategies to enhance the performance of complex machine learning models such as deep learning model and large language model. Applicants need to have strong background and track records of research
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation