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rehabilitation services. The project consists of two phases: the first is to understand client and staff experiences and needs, and co-design an optimal implementation strategy for incorporating an established
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(engineer/research assistant) is to be recruited to help optimize the technology. The role of Post-Doctoral Fellow reports to Dr Rob Patterson and has no direct reports. Level A, Salary – AUD $113,911 to
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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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and Stakeholder Engagement Investigate and Optimize Data Capture and Integration Workflows. Design and Evaluate User Experience Solutions for Agricultural Technologies Bridge Data Science and Decision
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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in: dynamical systems differential games optimal control numerical
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optimization, and covalent drug design. Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AI–quantum hybrid platforms
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plant tissue culture applications. An emerging profile in research in the area of plant tissue culture optimization and application. Evidence of publications in reputed refereed journals and presenting
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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