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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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skills Experience with nanoparticles for drug delivery or diagnostic applications Familiarity with biological systems and cellular targeting mechanisms Knowledge of computational tools for modelling
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program are, unfortunately, ineligible for the National Industry PhD Program. The ideal candidate will also possess the following skills and qualifications: Solid foundation in machine learning
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Australia. Knowledge and background in solid mechanics and Finite element analysis will be beneficial to undertake this project. Residual strength degradation and fatigue behaviour of composite laminates
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limitations. Encompassing proton-conducting electrolytes, these cells operate within the 350-650 °C range, which is markedly lower than that of the traditional solid oxide fuel cells (SOFCs) by 200°C
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, despite highly non-convex objective functions, typically avoids local minima problems. • Analyse how architectural designs such as residual units and attention mechanisms contribute to overcoming local
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/grades, relevant professional experience, publications (if any), awards (if any), and names of referees. Knowledge and background in Solid Mechanics, Structural Mechanics, and Engineering Materials