3 bayesian-object-detection Postdoctoral positions at University of New South Wales in Australia
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
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-atomic potentials (e.g. pro-fit, MLIP-3). Knowledge of meso-scale models such as cluster dynamics (e.g. Xolotl, Centipede), object-kinetic Monte Carlo or similar. Proven commitment to proactively keeping
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developed interpersonal skills. Demonstrated ability to communicate and interact with a diverse range of stakeholders and students. An understanding of and commitment to UNSW’s aims, objectives and values in
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