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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
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the Division of Research and Innovation as part of the co-investment from the University of Adelaide. This program will support ten full-time PhD students commencing studies from 2025 to 2027. In 2025, we
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the forefront of cancer systems biology, uniquely combining computational and predictive modelling with experimental approaches to tackle major challenges in cancer treatment. Our innovative research spans from
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contribution of 17% superannuation applies. Fixed-term, full-time position available for 2 years. We are seeking an ARC Grant Funded Researcher to focus on the computation of carbon based materials for clean
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Computer Science, Electrical Engineering, or a related field. A PhD is highly desirable; candidates with a master’s or bachelor’s degree must demonstrate equivalent research or industry experience. Strong
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. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
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the EEE discipline: Information Systems, Control, Autonomous Systems, and Computer Engineering: Information systems and science, communications, control and dynamics, robotics and automation, artificial
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model
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and rural health staff informatics, coordinate the writing of ethical applications and reports, and contribute to writing publications and external grants. To be successful you will need: A PhD in
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of a PhD in health or medical sciences and/or equivalent qualifications plus experience in conducting qualitative health research. Demonstrated experience in collecting qualitative interview/ focus group