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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Selection Criteria: PD&PEWER_Level B_Rio Tinto Postdoctoral Fellow.pdf Work collaboratively with Prof Christian Barry, RSSS Director on the Rio Tinto for Future Materials Contribute to a worldwide project
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application. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Dan Zhang at telephone number 2766 6661 or via
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algorithms that work in-the-loop, and deliver empirical work and publications. Main Duties and Responsibilities 1. Take a leading role in the planning and conduct of assigned research individually or jointly
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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enquiries are welcome and should be made to A/Prof Matthew Kemp at kemma@nus.edu.sg Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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the leadership of Prof Jhuma Sadhukhan (fixed term contract up to early 2029). The primary objective of this role is to conduct comprehensive research focusing on techno-economic analysis and life cycle
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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based in the team of Prof. Perdita Barran in the Michael Barber Centre for Collaborative Mass Spectrometry, and work closely with Dr. John Hoyes (TrueMass Ltd.), Dr. Dimitris Papamastasiou (Fasmatech Ltd
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technologies, ethical implications, and governance frameworks, including knowledge of algorithmic accountability and transparency. Experience with both qualitative and quantitative research methods, and