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information theory. An ideal candidate would also have knowledge of quantum mechanics of complex systems. Formal hiring requirement is a master degree in physics, computer science, or an equivalent degree
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combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering and materials research that could not be addressed so far due to their high
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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: This position is ideal for candidates with a background in civil engineering, structural engineering and mechanical engineering. Applicants should demonstrate: A strong interest in both experimental and numerical
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the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production technologies and manufacture processes with emphasis on mechanical
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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: From Mechanisms to Therapies”. In this CRC we aim to understand how plasticity i.e. non-genetic adaptations of the bone marrow niche induced by the disease or therapeutic agents contribute to drug
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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This exciting project combines CSIRO's and UON's unique characterisation and fabrication facilities to identify the key degradation mechanisms in Kardinia Energy's printed solar technology with
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning