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rate for up to 21 months. Domestic students will receive an Australian Government Research Training Program (RTP) Fees Offset. International students will receive a Tuition Fee Sponsorship. You will be
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computer science Have experience in Applied Machine Learning and AI Only applicants who currently reside in Australia are eligible to apply Application process To express your interest to be involved with
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Generation programs - Next Generation Graduates Program Student Information Details on CSIRO Next Generation programs - Next Generation Graduates Program Student Information Please contact A/Prof (andy.song
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conjunction with a Research Training Program (RTP) Scholarship, which provides an RTP Stipend, RTP Offset to cover tuition fees and an RTP Allowance. These scholarships are available to undertake a Masters by
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Eligibility criteria Full-time enrolment Successful recipients must also not be in receipt of any other scholarship. Application process Future and current student, please contact us via the EOI form .” The EOI
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. Application process You may also send your expression of interest together with your CV, English testing score, qualifications, publications and academic transcripts via email to Professor Prabir Sarker
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degrees should contain a minimum 25% research component. This scholarship is open to both domestic (AU/NZ) and international applicants. Application process If this project excites you, and your research
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Scholarship program are now open. You must complete the application form and include a written submission which includes: A statement (up to one A4 page) indicating how you are committed to working in remote
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In this research Masters project, the latest KR (knowledge representation) concepts and technologies will be combined with scientific workflows to tackle AI problems in key domains such as bushfire modelling. The results of this research have real-world applications in several different impact...
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In this research Masters project, the latest AI and KR (knowledge representation) concepts and technologies will be applied to the problems of automated understanding and reasoning about spatial and hydrological data. The results of this research have real-world applications in groundwater and...