176 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" PhD positions in Australia
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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in lower vertebrates, if it is present in sharks and how or if cartilage repair occurs in lower vertebrates. This project aims to develop a better understanding of the biology of cartilage in lower
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to establish similar tools in the US, Canada, UK, New Zealand, Hong Kong, Argentina and Fiji. It was developed by Hunter New England Local Health District and won Research Australia’s prestigious data innovation
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-hazard resilient sustainable modular structures. New modular connections will be developed and structural response of hybrid modular structure to multiple hazards including impact, blast, wind and
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medical education, research, clinical practice, community engagement and the development of better prevention and public health policies in rural and remote areas. This position will act as a project
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on clinical trials Well-developed planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines Capacity to work in a collegiate manner in a team environment and
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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of research include integrating AI-enhanced weather forecasts with crop models, exploring tools to guide land allocation and nitrogen management, or developing dashboards that fuse multiple data streams
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, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
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and the role of key architecture components can lead to the development of more efficient and robust training algorithms. This can ultimately result in AI systems that are both more powerful and