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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
for robotics. This project is a collaboration with the Australian Defence Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under
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, faster, longer? Future of Healthful Work – a large scale interdisciplinary program we’re leading asks the question “what if work were healthful from the outset, rather than being something from which we
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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communication skills in English (see below) Additional desired qualifications: Experience with the theoretical description of transport processes Skills in advanced computational methods (e.g., C++) Jarli og
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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delivery of our innovative NxtGen Researcher Programme and help establish the NxtGen Researcher Academy. This multi-disciplinary position focuses on engaging young people in health research, combining
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geomechanics, or ability to quickly acquire relevant domain knowledge. Proficiency in high-performance computing (HPC) for large-scale parallel simulations. Experience with advanced constitutive models and their
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crossing the disciplines of computational mechanics and biomedical engineering? Do you have an interest in developing computational models to investigate the lubrication of natural joints? Do you want
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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods