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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
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-centric innovations, we aim to build a resilient agricultural and environmental future. Central to this effort is our AgriTwins program (a part of the CSIRO Next Generation Graduates Programs ), a
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of people/society and digital computing technologies. Project designs will be interdisciplinary and use various methodologies and methods to critically assess and/or propose (re)designs of digital
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also not be in receipt of any other scholarship. Essential: English language IELTS level of 7 and above Essential: Successful completion of an Honours or Masters programme with a research component (or
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will be required to enrol in a Curtin University Doctoral program on a full-time basis for 4-years. Student type Future Students Faculties and centres Faculty of Business and Law Course type Higher
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upcycling of spent metal oxide cathodes, particularly, high Ni-containing oxides, through chemical-mechanical approaches, ionothermal/molten salt methods, etc. Project 2 (2 PhD students): Direct Recycling
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understanding of gene presence/absence, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid