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multi-disciplinary teamwork amongst staff for optimal clinical service outcomes Involvement in continuing professional development activities Attendance and participation in the clinical meetings
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month 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 1 month 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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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in the area of plant science, ideally with a focus or use of
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The Bob Croser Woodland Recovery Supplementary Scholarships are funded by the Bob Croser Woodland Recovery Project to support full-time PhD students who are commencing research to support woodland
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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, performance management, and related matters. Drive staff attraction and retention initiatives to ensure optimal workforce capability and configuration. Oversee academic workload planning and the effective