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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of solid mechanics and stress analysis to work across several industry
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Knowledge: Experience with cement and concrete chemistry, reinforced concrete structures, computational and solid mechanics. Preferred Qualifications: Strong analytical skills are beneficial, including but
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capabilities, NEWRI drives innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalization. For more details
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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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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mechanics, complex fluids, physics and biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 25 days ago
employer with staff working across numerous professions (see the full list of available roles here . We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a
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perform geomechanical analyses of their reservoirs and caprocks. These mechanical earth models will be used to develop an innovative Machine Learning approach to open access data from the North Sea