10 parallel-programming-"Multiple"-"Simons-Foundation"-"EURAXESS"-"Humboldt-Stiftung-Foundation" PhD positions at La Trobe University in Australia
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Australian or New Zealand citizens or Australian permanent residents. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team will comprise of academic
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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team
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resources and researchers who work with industry and Government to address the sustainability and liveability issues facing global communities. PhD students in our Joint Doctoral Degree Program will have
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or other drug use is involved, is responded to by multiple systems, including child protection, health, family services, juvenile justice and police. The public health research project will use individual
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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have access to our suite of professional development program In selecting successful applicants, we prioritise applications from candidates who:
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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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with La Trobe’s outstanding researchers, and have access to our suite of professional development programs In selecting successful applicants, we prioritise applications from candidates who: