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-refinement for finite element and scientific deep learning methods (gradient-free adaptation, generalized stochastic gradient descent methods) Salary for PhD students: is AUD32K per annum, tax free
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(L.Straker@curtin.edu.au ) / Dr Juliana Zabatiero (Juliana.Zabatiero@curtin.edu.au ) Further Information This scholarship is funded by the Australian Research Council Centre of Excellence for the Digital
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6.0; or TOEFL, internet based Overall 79, Reading 13, Listening 13, Speaking 18 and Writing 21) is provided at https://study.curtin.edu.au/applying/english-language-requirements/accepted-english
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, shape, composition that are responsive to light, heat and x-ray towards energy harvesting and storage, thermoelectric and optoelectronic devices. This scholarship application is open until filled. Student