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, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from publications, citations or scientific careers to test the implications of a model
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learning affect collective decisions? What happens when agents differ in their information, objectives or ability to learn? The precise question will be developed with the student. A project may combine
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semiconductors” (https://irtg-optexc.de/ ). As part of this program there is the opportunity for students to undertake fully funded joint degrees with the University of Bayreuth in Germany in the areas
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of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students/scholarships
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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the Faculty of Engineering. Details of eligibility requirements can be found via https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Applicants should ensure they familiarise
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
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preparation and publication. https://www.monash.edu/medicine/sphpm/anzicrc/research/anzic-rc-acute-brain-injury-program As the Research Fellow - Data Scientist, you will: Develop and implement data management
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and manuscript preparation and publication. https://www.monash.edu/medicine/sphpm/anzicrc/research/anzic-rc-acute-brain-injury-program As the Research Fellow - Data Scientist, you will: Develop and