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". A number of emerging approaches, such as zero resource and unsupervised NMT, have investigated alternative methods in developing NMT models where sufficient parallel corpora are not available (eg [1,2
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clinical settings and working to identify and deliver opportunities for engagement and collaboration within the university and beyond. The ability to contribute to research impact, program innovation
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TRINITY COLLEGE - THE UNIVERSITY OF MELBOURNE | Melbourne, Victoria | Australia | about 10 hours ago
School is home to the renowned Trinity College Foundation Studies Program, preparing international students for entry into the University of Melbourne and other leading universities. The Theological School
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the ACDP Fish Diseases Laboratory (AFDL) within the Diagnosis, Surveillance and Response (DSR) program. Reporting to the Aquatic Diagnostic Capability Team Leader, you will be a part of a group that
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. The candidate will be embedded within this program, working in parallel with a multidisciplinary team designing a ruggedised mobile CT scanner in collaboration with Micro-X Inc., while engaging closely with
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engagement whilst working on multiple projects in parallel; strong communication and collaboration skills and experience in presenting and influencing to a range of audiences, senior management, and
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process. About You Completion or near completion of a PhD in geophysics. Background/skills in finite element numerical modelling, geophysical Inversion theories, optimisation and parallel computing. Skills
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(including patent-relevant work) What will you bring? A PhD in bioinformatics, computational biology or a parallel field such as immunology with demonstrated experience in bioinformatics An understanding
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly