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genetic variation into elite germplasm. This will require the integration and optimization of several technologies, including genomics, machine learning, genetic simulation, and speed breeding. This is a
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Nations People, culturally diverse and gender diverse peoples. Note: A current Working with Children Check, police clearance, driver’s licence and access to a car will be required by the successful
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safety. At Macquarie University, our campus is more than just a place to learn and work it is a thriving community. Join our Property Services Facilities Management Team as a Technical Officer, Fire and
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
and digital methods. Position overview We are interested in candidates with expertise in one or more of a broad range of computational methods including but not limited to: machine learning / AI
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, including with the use of machine learning use this knowledge to design excavation trajectories that reduce energy consumption develop mathematical models of excavation energy losses communicate your findings
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from all levels of the University and students. Effective computer and data entry skills using the Microsoft Office suite and other specialist student and learning related software. SHAPE YOUR FUTURE
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and deep community engagement. Our staff work closely across disciplines to drive innovation and excellence in both education and research. With a strong focus on interprofessional learning and
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-sensor hyperspectral data for crop disease detection and monitoring. Develop machine learning or physics-informed models to retrieve reliable spectral and/or biophysical features, from multi-scale
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design