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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software
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Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
numerical seismology, data processing, computer programming, and fieldwork are encouraged to apply. The position working with Dr Caroline Eakin will focus on research in observational seismology, with the aim
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codesign fieldwork methods with long-term partners in the Hunter Valley to understand community perceptions of, and backlash to renewable energy infrastructure. We will also develop expanded, critical
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that enhances policy, practice, industry, and community outcomes · work effectively with multidisciplinary teams including clinicians, human factors experts, computer scientists, and AI experts
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and performance of existing methods by generating and pursuing novel ideas and solutions to scientific research problems. Evidence of advanced programming skills in languages and statistical software
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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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similar. Skills in control theory, estimation, perception pipelines, and multi-agent coordination. Experience with CAD tools (e.g., SolidWorks, Fusion 360) for component layout, mechanical integration
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
. With guaranteed 5-year funding, you will employ seismic wavefield and correlation methods to map Earth’s core, explore its interactions with upper layers, and extend insights to the Moon, Mars, and icy