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Background in Machine Learning, Algorithms and Data Structures
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substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable Background in Algorithms and Data Structures
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The proposed project aims to develop new methodologies for developing NMT systems between extremely low-resource languages and English. Recent advances in neural machine translation (NMT) are a
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will have the opportunity to collaborate with other historian researchers at the University and beyond to develop your own publication and research portfolio in the field of Indonesian history. Ideally
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poised for its next phase of development and now seeks an ambitious leader to envision and deliver this. MFJ delivers three of the highest performing and most exciting degrees offered in the Faculty
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-development of research design and coordinate a dynamic, interdisciplinary research coalition. You will be responsible for conducting systems analysis across key regions, managing expert working groups
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screening, risk of bias assessment and evidence grading. Assist with the preparation of ethics submissions, progress reports, and manuscripts for publication. Contribute to the development of research outputs
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research teams Working under broad direction, the Research Fellow will help drive research outcomes and continue developing their expertise in an internationally recognised academic environment. About Monash
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Since the 1990s, researchers have known that commonly-used public-key cryptosystems (such as RSA and Diffie-Hellman systems) could be potentially broken using an efficient algorithm running on a
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The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their accuracy is not high when we apply them on brain EEG time series (65